JP4610714B2 - Multi-point autofocus camera - Google Patents

Description

【００６４】
そして相関演算の信頼性を判定する為の信頼性指数ＳＫを計算する（ステップＳ１１）。この信頼性指数ＳＫは最小相関値Ｆ（ｘ）と２番目に小さい相関値ＦP （またはＦM ）との和を被写体データのコントラスト相当の値（ＦM −Ｆ（ｘ）又は、ＦP −Ｆ（ｘ））で規格化した数値であり式（４）又は式（５）により求められる。
【００６５】
【数２】

【００６６】
次に、信頼性指数ＳＫが所定値α以上か否かを判定し（ステップＳ１２）、ＳＫがα以上の場合は（ＹＥＳ）、信頼性が低いと判断して、検出不能フラグをセットする（ステップＳ１３）。一方、ＳＫがαに満たない場合は（ＮＯ）、信頼性があるものと判断して、像ずれ量ΔＺを計算する（ステップＳ１４）。例えば３点補間の手法を用いて連続的な相関量に対する最小値ＦMIN ＝Ｆ（ｘ０）を与えるシフト量ｘ０を次式で求める。
【数３】

【００６７】
なお、上記シフト量ｘ０を用いて、像ずれ量ΔＺを式（８）により求めることができる。
ΔＺ＝ｘ０−ΔＺ０ …（８）
（但し、ΔＺ０は合焦時の像ずれ量）。
【００６８】
また上式で求めた像ずれ量ΔＺから、被写体像面の予定焦点面に対するデフォーカス量ΔＤを式（９）で求めることができる。
【数４】

【００６９】
このようにして選択された複数の測距エリアについてそれぞれデフォーカス量を算出する。そして、例えば複数の測距エリアのうちから最も近距離を示すデフォーカス量を選択する。
【００７０】
さらに、選択されたデフォーカス量ΔＤからレンズ駆動量ΔＬを式（１０）により求める。
【数５】

【００７１】
そして上記レンズ駆動量ΔＬに基づいてフォーカスレンズの駆動を行なうことにより合焦状態を得ることができる。
【００７２】
（II） 被写体像位置を予測するための原理：
図１２（ａ）〜（ｄ）に示された移動する被写体に対する焦点検出の原理を説明する。
【００７３】
この図１２において、被写体６６、カメラ１０及びエリアセンサ２３の関係をみると、例えば図１２（ａ）に示すように、カメラ１０に向かって被写体６６が真っ直ぐに近づいてくる（矢印Ｇ３方向）場合、前述した焦点検出の原理により、第１（Ｌ）及び第２センサ（Ｒ）上の第１及び第２の被写体像は、時刻ｔ０から時刻ｔ１の間に互いに外側へ移動する。この場合、被写体像の移動量ΔＸL とΔＸR は等しい。
【００７４】
また、図１２（ｂ）に示すように、カメラ１０に向かって被写体６６が光軸と直交する横方向（矢印Ｇ１方向）に平行移動する場合、２つの被写体像は同じ向きに移動する。この場合、被写体像の移動量ΔＸL とΔＸR は等しい。
【００７５】
さらに、図１２（ｃ）に示すように、カメラ１０に向かって被写体６６が左手前に近づく（矢印Ｇ４方向）場合、第１の被写体像（Ｌ）は近づいてくることによる外側への移動量と、左に平行移動することによる左側への移動量が相殺されて移動量は小さくなる。
【００７６】
同様に、図１２（ｄ）に示すようにカメラ１０に向かって被写体６６が左後方に遠ざかる場合は、第１の被写体像（Ｌ）は遠ざかることによる内側への移動量と、左に平行移動することによる左側への移動量が相殺されて移動量は小さくなる。一方、第２の被写体像（Ｒ）は遠ざかることによる内側への移動量と、左に平行移動することによる左側への移動量が加算されて移動量は大きくなる。
【００７７】
ここで、時刻ｔ０から時刻ｔ１の被写体像を基に、後述する相関演算等を行う手段により第１及び第２被写体像の移動量ΔＸL 、ΔＸR を検出して、右方向への移動を＋とする符号をつけると、光軸方向の被写体像の移動量はΔＸR −ΔＸL 、横方向の被写体像の移動量はΔＸR ＋ΔＸL で求めることができる。よって、時刻ｔ０から時刻ｔ１までの被写体像の移動量ΔＸR 、ΔＸL が求まれば、時刻ｔ２での被写体像の位置を予測することができる。
【００７８】
被写体が一定の速度で動いているとすると、横方向の被写体像の移動速度は定速度となる。尚、光軸方向への被写体像の移動速度は、厳密には定速度にはならないが、微小な時間間隔では定速度と考えてよい。
従って、時刻ｔ０での第１被写体像の予測位置は、時刻ｔ１の被写体像位置より式（１１）に示されるΔＸL′だけ移動している。すなわち、
【数６】

【００７９】
同様に、第２被写体像の予測位置は式（１２）に示されるΔＸR′だけ移動する。
【００８０】
【数７】

【００８１】
また時刻ｔ１での第１、第２被写体像の像ずれ量をΔＺとすると時刻ｔ２での予測像ずれ量ΔＺ′は式（１３）のように求められる。
【数８】

【００８２】
そしてこの予測像ずれ量ΔＺ′に基づいて、レンズ駆動量を求める。時刻ｔ２を露光開始までの時間とすることにより、移動する被写体に対してピントの合った写真を得ることができる。この時、ΔＸR −ΔＸL の符号によって、被写体が接近しているのか、遠ざかっているのかを判断しておく。ΔＸR −ΔＸL ＞０であれば、被写体は接近していることになる。
【００８３】
次に、被写体像の移動を求めるための相関演算と、その信頼性判定について説明すると、時刻ｔ０での被写体像Ｌ′（Ｉ），Ｒ′（Ｉ）と前述した二像間の相関演算により求められた相関ブロックＳLM′，ＳRM′、相関性係数ＳＫ′、像ずれ量ΔＺ′はそれぞれ、制御部３０内のＲＡＭ４２に記憶される。その後、時刻ｔ１での被写体像信号Ｌ（Ｉ），Ｒ（Ｉ）を検出する。
【００８４】
次に、図１３に示す被写体像の移動と、図１４に示すフローチャートを参照して、移動量検出について説明する。
【００８５】
まず、第１の被写体像信号について、時刻ｔ０での被写体像信号Ｌ′（Ｉ）と時刻ｔ１での被写体像信号Ｌ（Ｉ）について相関演算を行なう。これは、被写体像の移動を検出する「移動量検出」ルーチンにおいては、まず変数ＳL にＳLM′−１０を代入する（ステップＳ２１）、また変数Ｊは相関範囲をカウントする変数であり、初期値として、２０を代入する（ステップＳ２２）。
【００８６】
次に、式（１４）の相関式により相関出力Ｆ（ｓ）を計算する（ステップＳ２３）。
【００８７】
【数９】

【００８８】
続いて、前述した相関演算と同様に、Ｆ（ｓ）とＦMIN を比較し（ステップＳ２４）、この比較で、Ｆ（ｓ）がＦMIN より小さければ（ＹＥＳ）、ＦMIN にＦ（ｓ）を代入し、且つＳL をＳLMに記憶する（ステップＳ２５）。この場合、相関をとるブロックの素子数は前述した像ずれ量を求める時のブロックの素子数と同じ２７である。しかし、Ｆ（ｓ）がＦMIN より大きければ（ＮＯ）、次のステップＳ２６に移行する。
【００８９】
次にＳL に１を加算し、Ｊからは１を減算する（ステップＳ２６）。そしてＪ＝０か否かを判定し、Ｊが０でなければ（ＮＯ）、Ｊ＝０となるまで上記ステップＳ２３に戻り、相関式Ｆ（ｓ）を繰り返す。このように、±１０素子まで相関範囲を変化させて相関をとっていくが、この相関範囲は検出したい移動量範囲により決定される。ここで、Ｊ＝０となった場合（ＹＥＳ）、信頼性の判定を行なう。
【００９０】
すなわち、前述した第１、第２被写体像の像ずれ量を求める時と同様に、最小相関値Ｆ（Ｘ）の前後のシフト量での相関値ＦM 、ＦP を式（１５）及び式（１６）により求める（ステップＳ２８）。
【００９１】
【数１０】

【００９２】
次に、信頼性指数ＳＫを前述した式（４）と式（５）により求める（ステップＳ２９）。そして、ＳＫ＞βか否かを判定する（ステップＳ３０）。この判定でＳＫ≦βの時は（ＮＯ）、信頼性ありと判断して、移動量を求める（ステップＳ３１）。但し、値βは、第１、第２被写体像の像ずれ量を求める時の判定値αよりも大きな値とする。これは、被写体が移動していると波形が変形する場合が多いので相関性が悪くなる可能性が大きいためである。
【００９３】
そして、被写体像の移動量ΔＸL を求める。前述した第１、第２被写体像の像ずれ量の計算時と同様に３点補間の手法により、式（１７）及び式（１８）により求める。
【数１１】

【００９４】
一方、上記ステップＳ３０の判定において、ＳＫ＞βの関係であれば（ＹＥＳ）、信頼性がないと判別して、検出不能フラグを設定する（ステップＳ３２）。
【００９５】
第２被写体像Ｒ（Ｉ），Ｒ′（Ｉ）についても、詳細は省略するが、同様の移動量検出ルーチンを実行し、相関が最も高いブロック位置ＳRM、移動量ΔＸR を求める。
第１、第２の被写体像の移動量ΔＸL 、ΔＸR が求められると、時刻ｔ１での像ずれ量ΔＺ′は、時刻ｔ０の時の像ずれ量ΔＺより式（１９）のようにして求められる。
【数１２】

【００９６】
時刻ｔ０の像ずれ量ΔＺに基づく、時刻ｔ２での像ずれ量ΔＺ″の予測式は式（２０）のようになる。
【数１３】

【００９７】
時刻ｔ２を後述する方法で求めて、ΔＺ″に基づいた量だけレンズ駆動することにより、時刻ｔ２において、移動している被写体にピントを合わせることができる。
【００９８】
なお、被写体像の移動速度ｖ＝（ΔＸR −ΔＸL ）／（ｔ１−ｔ０）が大きすぎる場合は、検出値に信頼性がないものとして像ずれ量の予測はしない。また、被写体像の移動速度が小さく検出誤差と見なされる場合は、移動速度を０にする。
【００９９】
（III） 像ずれ量予測時刻ｔ２の予測式：
ここで、像ずれ量を予測する時刻ｔ２を求める方法について述べる。
前述したように、時刻ｔ２の像ずれ量ΔＺ″は時刻ｔ１の像ずれ量ΔＺ、時刻ｔ０から時刻ｔ１の被写体像の移動量ΔＸR 、ΔＸL を用いて式（２０）により求められる。
【０１００】
いま、露出時に合焦状態になるような時刻ｔ２を式（２１）で求める。
【数１４】

【０１０１】
この式において、ｔｄは、時刻ｔ１からレンズ駆動を開始するまでの時間であり、この値には前述した相関演算時間等のカメラ内部での処理時間が含まれる。
ここで、ｋｅは、像ずれ量ΔＺ″に比例したレンズ駆動時間を求める変換係数である。レンズ駆動量ΔＬは、像ずれ量ΔＺ″に基づいて式（９）及び式（１０）により求められるが、像ずれ量ΔＺ″が充分に小さい領域においてはデフォーカス量ΔＤ、レンズ駆動量ΔＬは像ずれ量ΔＺ″に比例すると近似するので、精度的に問題はない。ｔｅは、レンズ駆動終了からシャッタ幕が開放されて露出が開始されるまでの時間であり、カメラの露出演算、絞り制御、ミラーアップ等の時間を含む。
【０１０２】
上記式（２０）と式（２１）を解くことで、予測像ずれ量を求める式（２２）が次のように導かれる。
【数１５】

【０１０３】
このΔＺ″から、式（９）及び式（１０）にてレンズ駆動量ΔＬを求めてレンズ駆動を行なうことにより、移動している被写体に対して露出時に合焦状態とすることができる。
【０１０４】
次にレンズ駆動終了時の合焦となるような時刻ｔ２は式（２３）で求まる。
ｔ２＝ｔ１＋ｔｄ＋ｋｅ・ΔＺ″ …（２３）
同様に式（２０）及び式（２３）を解いて、次のような式（２４）が導かれる。
【数１６】

【０１０５】
このΔＺ″から、式（９）及び式（１０）にてレンズ駆動量ΔＬを求めてレンズ駆動を行なうことにより、移動している被写体に対してレンズ駆動終了時に合焦状態とすることができる。
【０１０６】
次に、図１５に示すフローチャートを参照して、この実施形態における具体的な動作プログラムについて説明する。なお、「ＡＦ検出」ルーチンは、カメラの電源がオン状態の期間は繰り返し実行されているものとする。
まず、エリアセンサ２３の積分動作を実行し、積分が終了するとエリアセンサ２３より被写体像データ（以下、センサデータと称する）を読み出す（ステップＳ４１）。
【０１０７】
次に、被写体像ずれ量（以下像ずれ量）が検出されたか否かを判定する（ステップＳ４２）。この判定で検出されていない場合は（ＮＯ）、前述した「像ずれ量検出」ルーチン（図１１参照）により像ずれ量を求める（ステップＳ４３）。ここでは、エリアセンサ２３ａ，２３ｂ上の予め設定されている所定の測距エリアについて、像ずれ量を検出する。但し、予め設定されている測距エリアは、例えば撮影者により選択された１個の測距エリア若しくは、全測距エリアであってもよい。
【０１０８】
次に、上記所定の測距エリアに対して、全て像ずれ量検出を終了したか否かを判定し（ステップＳ４４）、まだ終了していない場合は（ＮＯ）、上記ステップＳ４３に戻り、次の測距エリアの像ずれ量検出を行なう。
一方、全所定の測距エリアの像ずれ量検出が終了した場合は（ＹＥＳ）、所定のアルゴリズム、例えば最至近選択に基づいて測距エリアの選択を行なう（ステップＳ４５）。以下、選択された測距エリアａｍ，ｂｍとしての説明を行なう。
【０１０９】
次に、像ずれ量が検出不能、すなわち所定測距エリアについて全て検出不能であるか否かを判定する（ステップＳ４６）。この判定において、検出可能な場合は（ＹＥＳ）、像ずれ量検出可能フラグがセットされ（ステップＳ４７）、更に像ずれ量検出済フラグがセットされる（ステップＳ４８）。
【０１１０】
一方、上記ステップＳ４６において、全て検出不能であると判定された場合は（ＮＯ）、像ずれ量検出不能フラグをセットし（ステップＳ４９）、像ずれ量検出済フラグをクリアする（ステップＳ５０）。そして、上記像ずれ量検出済フラグをセット若しくはクリアした後、像移動量検出済フラグをクリアし（ステップＳ５１）、図１８にて後述するメインルーチンにリターンする。
また上記ステップＳ４２の判定において、既に像ずれ量が検出していた場合は（ＹＥＳ）、以下のように第１、第２の被写体像毎に被写体像の時間に対する移動量を検出する。まず、上記ステップＳ４５で選択された測距エリアａｍを初期測距エリアとして設定する（ステップＳ５２）。
【０１１１】
次に、測距エリアａｍの第１被写体像について前回（時刻ｔ０）の像ずれ量検出で記憶しておいたセンサデータと、今回（時刻ｔ１）のセンサデータとの相関演算を行い、移動量を検出する（ステップＳ５３）。これは、図１４に示した移動量検出ルーチンによる。
【０１１２】
そして、第１被写体像の移動量が検出できたか否かを判定する（ステップＳ５４）。この判定で、移動量が検出できなかった場合は（ＮＯ）、第１、第２被写体像間の像ずれ量は、０であるとされ、測距エリアａｍ近傍の測距エリアについて、すべての測距エリアが設定されているか否かを判別する（ステップＳ５５）。この判定で、近傍の全測距エリアについてのシフトが終了していない場合は（ＮＯ）、今回（時刻ｔ１）における測距エリアを所定の順序に従ってシフトし、次の測距エリアにシフトして設定する（ステップＳ５６）。尚、ここで言う所定の順序とは、図１６（ａ）〜（ｅ）に順に示すように、エリアセンサ２３ａ上の初期測距エリアａｎを中心にして矢印が示すように、ａｎの近傍の水平方向と垂直方向に測距エリアをシフトしていくことである。このような順序で処理する理由は、被写体の上下動や左右方向の移動の影響でエリアセンサ２３上の被写体像が水平方向と垂直方向に移動することに対応させるためである。即ち、ａｎ近傍の測距エリアを含めて被写体の像移動を検出する。その後、上記ステップＳ５３に戻り、設定された新しい測距エリアについて、再度第１被写体像移動量を検出する。このようにして第１被写体像の位置を探索していく。
【０１１３】
しかし、上記ステップＳ５５の判定において、近傍の全ての測距エリアにて設定が終了したならば（ＹＥＳ）、後述するステップ５９に移行する。
また上記ステップＳ５４の判定において、第１被写体像の位置が検出でき、さらに時刻ｔ０からｔ１の移動量が検出できた場合は（ＹＥＳ）、第１被写体移動量が検出できた測距エリアａｋに対応するエリアセンサ２３ｂの測距エリアｂｋについて第２被写体像に対する移動量を検出する（ステップＳ５７）。これは、図１４の「移動量検出」ルーチンを参照する。尚、このとき、第１被写体像の移動量が検出できた時刻ｔ１における測距エリアをａｋとする。
【０１１４】
ここで測距エリアのシフトが発生した場合には、像移動量として測距エリア間のシフト量（例えば、中心間距離の画素数換算値）がΔＸL 、ΔＸR に加算される。
【０１１５】
このようにして第１、第２の被写体像の両方の移動量が検出できたときには、被写体像の光軸方向の移動速度ｖが次式から計算される（ステップＳ５８）。
【数１７】

【０１１６】
そして、検出する所定の測距エリアについて、全ての移動速度演算が終了しているかを判定し（ステップＳ５９）、演算が終了していなければ（ＮＯ）、測距エリアａｎについて、移動速度の検出が終了しているため、次に測距エリアａｎ＋１を設定して（ステップＳ６０）、上記ステップＳ５３に戻る。
【０１１７】
上記ステップＳ５９の判定において、全ての移動速度演算が終了していれば（ＹＥＳ）、計算されたこの移動速度ｖを所定速度ｖｔｈと比較して、被写体が光軸方向に移動しているか否かを全測距エリアで判定を行い（ステップＳ６１）、被写体が静体か否かを判定し（ステップＳ６２）、静体ではなく、光軸方向に移動していると判定できる場合は（ＮＯ）、被写体移動中フラグをセットする（ステップＳ６３）。しかし、静体であると判定された場合は（ＹＥＳ）、被写体移動中フラグをクリアして（ステップＳ６４）、上記ステップＳ４３に戻り、再び像ずれ量の検出処理からやり直す。
【０１１８】
そして、上記被写体移動中フラグをセットした後、像移動検出済みフラグをセットして（ステップＳ６５）、移動被写体検出時にどの測距エリアに焦点を合わせるかを選択する（ステップＳ６６）。
【０１１９】
前述した第１の実施形態においては、動体判定のステップで、すでに中央を重視して、動体判定しているので、ステップＳ６６では、動体と判定され、測距エリアの中で一定の基準を定めて、例えば、動作が速い被写体を選ぶ測距エリアを選択して、メインルーチンにリターンする。
【０１２０】
次に、図４に示す構成及び図１８に示すフローチャートを参照して、本発明の多点自動焦点カメラを適用したカメラのメインルーチンについて説明する。このメイン動作は、制御部３０によって起動されるプログラムの制御手順を示すルーチンであり、制御部３０の動作開始により実行される。
【０１２１】
まず、ＥＥＰＲＯＭ３５から予め記憶されている測距、測光処理において使用する各種補正データを読み出し、ＲＡＭ３３に展開する（ステップＳ７１）。
そして、１ＲＳＷがオンされているか否かを判定し（ステップＳ７２）、オン状態でなければ（ＮＯ）、１ＲＳＷ及び２ＲＳＷ以外の他のスイッチが操作されているか否かを判定し（ステップＳ７３）、操作されたスイッチがあれば（ＹＥＳ）、そのスイッチに応じた処理を実行し（ステップＳ７４）、その後上記ステップＳ７２に戻る。
【０１２２】
一方、上記ステップＳ７２において、１ＲＳＷがオン状態であれば（ＹＥＳ）、ＡＦ動作モードが「シングルＡＦ」か否かを判定する（ステップＳ７５）。この判定で、シングルＡＦモードであった場合は（ＹＥＳ）、一度合焦すると、フォーカスロックを行いレンズ駆動しないため、次に合焦済みか否かを判定する（ステップＳ７６）。しかし、シングルＡＦモードではない場合は（ＮＯ）、コンティニュアスＡＦモードであるものとみなし、一度合焦した後も被写体の変化に追従してＡＦ駆動を繰り返すようにするために、後述する上記ステップＳ７７に移行する。
【０１２３】
上記ステップＳ７６において、合焦済みであれば（ＹＥＳ）、ＡＦ駆動が行われず、上記ステップＳ７２に戻る。しかし、合焦していない場合（ＮＯ）、或いはコンティニュアスＡＦモードの場合には、測光済みか否かを判定し（ステップＳ７７）、測光済みでなければ露出量を決定するために測光部３９を動作させて被写体輝度を測定する測光動作を行なう（ステップＳ７８）。
【０１２４】
次に、前述したサブルーチン「ＡＦ検出」が実行される（ステップＳ７９）。このＡＦ動作の結果、前述した検出不能フラグを参照して像ずれ検出不能か否かを判別する（ステップＳ８０）。この判別で、像ずれ検出可能の場合は（ＮＯ）、被写体像の移動量が検出済みか否かを判定する（ステップＳ８１）。一方、像ずれ検出不能の場合は（ＹＥＳ）、フォーカスレンズ１２ａを駆動しながらＡＦ検出可能なレンズ位置を探すスキャン動作を行ない（ステップＳ８２）、上記ステップＳ７２に戻る。このスキャンが行なわれた場合は、全てのフラグがクリアされてＡＦ検出が再び最初からやり直される。
【０１２５】
また、上記ステップＳ８１において、被写体像の移動量が検出済みの場合は（ＹＥＳ）、像ずれ量の予測が行われる。まず、２ＲＳＷがオンされているか否かを判定し（ステップＳ８３）、２ＲＳＷがオンされていた場合は（ＹＥＳ）、露光開始時の像ずれ量が予測される（ステップＳ８４）。一方、２ＲＳＷがオフしていた場合は（ＮＯ）、ＡＦ動作を行なうだけなので、レンズ駆動終了時の像ずれ量が予測され（ステップＳ８５）、後述するステップＳ８７の合焦判定に移行する。
【０１２６】
また上記ステップＳ８１において、被写体像の移動量が検出済みでない場合は（ＮＯ）、被写体が移動中であるか否かを判定する（ステップＳ８６）。この時点で、像移動検出済みフラグは後述するように、レンズ駆動された後（ステップＳ８７）、クリアされ、コンティニュアスＡＦモードでレンズ駆動後は像移動検出されていなくても被写体移動中フラグがセットされているので、ステップＳ７２に戻り、被写体像移動を再度検出し直す。
【０１２７】
一方、移動中ではない場合は（ＮＯ）、検出された像ずれ量、または予測された像ずれ量をデフォーカス量に変換して、合焦許容範囲に像が入っているか否かを判定する（ステップＳ８７）。この判定で、合焦していると判定されなかった場合は、必要なレンズ駆動量が求められ、フォーカスレンズが駆動される（ステップＳ８８）。レンズ駆動ルーチン内では、そのレンズ駆動後に像ずれ検出済みフラグ、像ずれ検出不能フラグおよび像移動検出済みフラグをそれぞれクリアする。このクリア処理は、一度フォーカスレンズを駆動した後には、被写体像が大きく変化すると考えられるので、ＡＦ検出を最初からやり直すためである。尚、前述したように、被写体像移動中フラグだけは、ここではクリアしない。この理由は、コンティニュアスＡＦモードでレンズ駆動後に最初のＡＦ検出で合焦判定してしまわないようにして、引き続き被写体の移動を検出するようにするためである。
【０１２８】
上記ステップＳ８７において、合焦状態である判定の場合は（ＹＥＳ）、２ＲＳＷのオン・オフ状態を判別する（ステップＳ８９）。ここで、２ＲＳＷがオンされていれば（ＹＥＳ）、上記ＲＡＭ３３に格納されている測光値に基づいて絞りとシャッタを制御して露出動作を行なう（ステップＳ９０）。そして撮影したフィルムを巻き上げて、次のコマの位置に給送し（ステップＳ９１）、一連の撮影動作を終了する。
【０１２９】
以上説明したように、第１の実施形態では、エリアセンサ上において、像分割方向及び像分割方向に垂直方向の両方について被写体像の位置を検出しているため、上下方向の移動及び左右方向の移動のある移動被写体であっても、その被写体像位置を検出することができ、予測制御が可能となり正確にピントを合わせることができる。
【０１３０】
次に図１９に示すフローチャートを参照して、図１５に示したステップＳ６１の動体判定について説明する。
【０１３１】
まず、初期測距エリアを設定する（ステップＳ１０１）。例えば、測距エリアＰ１を設定する。次に、測距エリア毎に所定速度Ｖthの値を設定する（ステップＳ１０２）。後述する図２０において説明するが、周辺の測距エリアほど中央の測距エリアよりもＶthを大きく設定する。
【０１３２】
そして、図１５におけるステップＳ５４で像移動が検出可能と判定された測距エリアであるかを判定する（ステップＳ１０３）。この判定で、検出可能な測距エリアであれば（ＹＥＳ）、上記ステップＳ１０２で設定した測距エリア毎のＶｔｈと図１５におけるステップＳ５８で演算した像移動速度を比較して、被写体が移動している動体であるか否かを判定する（ステップＳ１０４）。
【０１３３】
この判定で、Ｖｔｈよりも大きいと判定された場合には（ＹＥＳ）、被写体が動体であると判定して、設定測距エリアの被写体が動体である情報をＲＡＭ３３に格納する（ステップＳ１０５）。しかし、Ｖｔｈよりも小さいと判定された場合には（ＮＯ）、被写体は静体であると判定して、設定測距エリアの被写体が静体である情報をＲＡＭ３３に格納する（ステップＳ１０６）。
【０１３４】
そして、全測距エリアの動体判定が終了したか否かを判定する（ステップＳ１０７）。この判定で、終了していれば（ＹＥＳ）、リターンする。終了していなければ（ＮＯ）、次の測距エリアを設定して（ステップＳ１０８）、上記ステップＳ１０２に戻る。
【０１３５】
次に図２０を参照して、図１９のステップＳ１０２における、測距エリア毎の所定速度Ｖth値の設定について説明する。
【０１３６】
図２０の横軸は、図７で説明した測距エリア番号に相当し、縦軸はＶthである。
【０１３７】
測距エリアＰ１３は、撮影画面中央の測距エリア（斜線で示す測距エリアｍ）であり、測距エリアＰ７〜Ｐ９，Ｐ１２，Ｐ１４、Ｐ１７〜Ｐ１９は、測距エリアＰ１３に隣接（１エリア周辺）する第１の測距エリア群であり、測距エリアＰ１〜Ｐ５，Ｐ６，Ｐ１０，Ｐ１６，Ｐ２０，Ｐ２１〜Ｐ２５は中央の測距エリアから２エリア周辺の第２の測距エリア群である。
【０１３８】
図２０は、中央の測距エリアＰ１３に対して第１の測距エリア群は２倍、第２の測距エリア群は３倍のＶｔｈとした例を示している。この設定により、第２の測距エリア群に存在する移動被写体は、中央の測距エリアＰ１３よりも３倍動体判定される。
【０１３９】
以上説明したように、本実施形態によれば、被写体が撮影画面中央に近いほど動体と判定され易くなり、中央の移動被写体に合焦し易くなる。
【０１４０】
次に、本発明の多点自動焦点カメラに係る第２の実施形態について説明する。
【０１４１】
図２１は、撮影画面に配置された全測距エリアの速度分布と速度分布の変化の例であり、２５個の測距エリアを有する図７の測距領域で、図１７（ａ）に示した向かってくる電車を測距した場合に、図１５のステップＳ５４の光軸方向の移動速度計算における速度分布の例を示している。 図２１（ａ）では、測距エリアＰ１〜Ｐ５と測距エリアＰ２１〜Ｐ２５は、背景を測距しているために移動速度は零であり、測距エリアＰ６，Ｐ７，Ｐ１０，Ｐ１１，Ｐ１５，Ｐ１６，Ｐ２０は電車の上下エリアを測距しているため、移動速度は零である。その他の測距エリアには電車が存在することとなり、移動速度Ｖ１〜Ｖ３が観測される。カメラからの距離が近いために、電車の先頭を撮像している測距エリアの速度Ｖ３が最大であり、電車側面（後尾）を撮像している測距エリアの移動速度Ｖ１が最小である。
【０１４２】
図２１（ｂ）は、図２１（ａ）から時間ｔ１経過した後の速度分布の例である。図２１（ｃ）は、図２１（ａ）から、さらに時間ｔ２経過した後の速度分布の例である。但し、ｔ１＜ｔ２である。
【０１４３】
このような速度分布は、電車が紙面中央から右方向に移動しているため、速度が観測される測距エリアも右方向に移動する。また電車がカメラに徐々に接近してくるために徐々に移動速度が速くなっている。
【０１４４】
また、電車が紙面中庸から左方向に移動していれば、速度分布の動きは、逆方向に移動するようになる。
【０１４５】
この実施形態では、複数の測距エリアで被写体が動体であると判定された場合には、中央に近い測距エリアの方を優先して選択する。
【０１４６】
即ち、例えば図２１（ｂ）で、移動速度Ｖ３の測距エリアと移動速度Ｖ４の測距エリアの両方で被写体が動体であると判定された場合には、中央に近いＶ３の測距エリアを優先的に選択する。
【０１４７】
図２２に示すフローチャートを参照して、第２の実施形態における図１５に示したステップＳ６６における被写体が動体であった時の測距エリア選択について説明する。この第２の実施形態のその他のルーチンは、前述した第１の実施形態における他のフローチャートと同じであり、ここでの説明は省略する。
【０１４８】
尚、本実施形態では、動体時測距エリア選択で中央を優先させるため、前述した第１の実施形態のステップＳ６１における中央を優先させる動体判定のアルゴリズムは、採用しても採用しなくてもよい。採用しない場合には、図２０で示したＶthの値が全測距エリアで一定になる。
【０１４９】
まず、初期測距エリアを設定する（ステップＳ１１１）。例えば、測距エリアＰ１を設定する。次に、測距エリア毎に重み付けをする係数を設定する（ステップＳ１１２）。具体的には、周辺にある測距エリアよりも中央の測距エリアを重視するように付した係数であり、例えば、図２０に示した中央の測距エリアを係数３、第１の測距エリア群（１エリア周辺）を係数２、第２の測距エリア群（２エリア周辺）を係数１に設定する。
【０１５０】
そして、図１５におけるステップＳ５４で像移動が検出可能と判定された測距エリアであるかを判定する（ステップＳ１１３）。この判定で、検出可能な測距エリアであれば（ＹＥＳ）、上記ステップＳ１１２で設定した測距エリア毎のＶｔｈと図１５におけるステップＳ５８で演算した像移動速度を比較して、被写体が移動している動体であるか否かを判定する（ステップＳ１１４）。
【０１５１】
この判定で、被写体が動体であれば（ＹＥＳ）、測距エリアの係数と移動速度との掛け算を行って、その結果を”Ａ”とする（ステップＳ１１５）。この”Ａ”値は、大きい値である程、中央の測距エリアに近い位置にある被写体であるか、あるいは速い被写体であり、選択する測距エリアを決定するために用いられる値である。
【０１５２】
次に、得られた上記”Ａ”値が撮影画面内の測距エリア内で最大か否かを判定し（ステップＳ１１６）、”Ａ”値が最大になる測距エリアを選択測距エリアとして設定する（ステップＳ１１７）。
【０１５３】
また、上記ステップＳ１１３の判定で像移動が検出不能と判定された測距エリアであった場合（ＮＯ）、上記ステップＳ１１４の判定で被写体が動体でなかった場合（ＮＯ）、及び上記ステップＳ１１６の判定で、上記”Ａ”値が撮影画面内の測距エリア内で最大でなかった場合（ＮＯ）は、後述するステップＳ１１８に移行する。
【０１５４】
そして、全測距エリアの動体判定が終了したか否かを判定する（ステップＳ１１８）。この判定で、終了していれば（ＹＥＳ）、リターンする。終了していなければ（ＮＯ）、次の測距エリアを設定して（ステップＳ１１９）、上記ステップＳ１０２に戻る。
【０１５５】
次に、この第２の実施形態の変形例について説明する。
【０１５６】
単に撮影画面中央に近い位置に存在する移動被写体の測距エリアを選択するようにできる。このような場合には、図２２のステップＳ１１５において、移動速度を考慮しないようにして、動体と判定された測距エリアのうち、最も撮影画面中央に近い測距エリアを選択する。即ち、図２１（ａ）と（ｂ）では、中央の測距エリアＰ１３を選択し、図２１（ｃ）では、測距エリアＰ１８を選択する。ただし、この場合には、速度の速い被写体に合焦しにくいという欠点もある。
【０１５７】
以上説明したように、第２の実施形態によれば、撮影画面中央に近い位置に存在する被写体、若しくは移動速度の速い被写体を優先して選択し、合焦することができる。
【０１５８】
次に本発明による多点自動焦点カメラに係る第３の実施形態について説明する。
この第３の実施形態は、前述した第１、第２の実施形態において説明した動体判定が、被写体の移動速度を所定値と比較して判定する方法であったが、これとは別の方法による動体判定によるものである。つまり、動体であると判定された測距点が複数存在する場合に、画面内の移動方向も判定し、周辺から中央に向かう被写体を中央から周囲に向かう被写体よりも優先させるものである。
【０１５９】
図２３には、運動会のリレーシーンを例として示し説明する。この図の参照符号や測距エリア等は、前述した図１７と同等の部位を示しているものとする。この構図においては、被写体７０が測距枠Ｐ７，Ｐ２，Ｐ１２で検出され、画面左から画面中央に向かって走っている。併走する被写体７１は、被写体７０の後方で測距枠Ｐ６，Ｐ１で検出され、画面左から画面中央に向かって走っている。また被写体７２は、被写体７０の前方で測距枠Ｐ９，Ｐ４で検出され、画面中央から画面右に向かって走っている。
【０１６０】
このようなシーンの場合、画面中央に向かっており、且つ、より中央に位置している被写体７０が撮影者の意図している主要被写体である確率が高い。また、被写体が露光時に画面から外れてしまう確率も低く、より中央に位置しているので解像力の点でも有利になる。
【０１６１】
この第３の実施形態では、このように被写体の画面内の移動方向（光軸に垂直な方向の移動方向）を判定し、被写体７１や被写体７２よりも中央に近い被写体７０を優先的に選択する。従って、この選択方法を用いれば、図２３に示す例において、３人の被写体が逆方向（紙面右から左）に走っていた場合には、被写体７２が優先的に選択されることとなる。
【０１６２】
次に図２４に示すフローチャートを参照して、第３の実施形態におけるＡＦ検出ルーチンについて説明する。
このＡＦ検出ルーチンは、前述した図１５に示したフローチャートにおけるステップＳ５７（第２被写体像の移動量検出）とステップＳ５８（光軸方向の移動量検出）との間に、被写体の画面内の移動方向を計算するルーチン（ステップＳ６７）を挿入したルーチンである。
【０１６３】
このステップＳ６７は、被写体の画面内の移動方向を計算するルーチンであり、これは、図１２で説明した左右のそれぞれの像移動量ΔＸL とΔＸR から求める。図１２（ａ）と図１２（ｂ）を比較するとわかるように、同図（ｂ）は被写体６６が横に移動しているので像ずれ量△Ｚは変化しないが、ΔＸL 及びΔＸR は（ａ）よりも大きい。また図１２（ａ）では、被写体６６が光軸方向に移動しているため、ΔＸL とΔＸR はベクトルの方向が異なるのみで絶対値はほぼ等しい。つまり、時刻ｔ１とｔ２の像ずれ量変化量の半分の値と、ΔＸL 及びΔＸR の値の差を演算すれば、それが横方向への被写体の移動を示す量となる。
【０１６４】
次に、図２５に示すフローチャートを参照して、第３の実施形態における被写体が動体であった時の測距エリア選択について説明する。
【０１６５】
この測距エリア選択は、前述した図２２に示したフローチャートのステップＳ１１５の代わりにステップＳ１２０（方向係数の設定）とステップＳ１２１（方向係数を加味した”Ａ”値）を挿入するものである。この図２５に示すフローチャートの工程において、図２２の工程と同等のステップには、同じステップ番号を付して、説明を簡略化する。
【０１６６】
まず、初期測距エリアを設定し（ステップＳ１１１）、測距エリア毎に重み付けのための係数を設定する（ステップＳ１１２）。そして像移動が検出可能と判定された測距エリアであるかを判定し（ステップＳ１１３）、検出可能な測距エリアであれば（ＹＥＳ）、被写体が移動している動体であるか否かを判定する（ステップＳ１１４）。この判定で、設定エリアの被写体が動体であれば（ＹＥＳ）、移動方向によって方向係数を設定する（ステップＳ１２０）。例えば、被写体が周辺から中央へ向かって移動している場合には係数３、中央から周辺に向かって移動している場合には係数１を設定する。即ち、図２３（ａ）に当て嵌めれば、被写体７０と被写体７１は係数３となり、被写体７２は係数１となる。
【０１６７】
その後、ステップＳ１１２で設定したエリア係数とステップＳ１２０で設定した方向係数と演算済の移動速度との掛け算を行って、その結果を”Ａ”とする（ステップＳ１２１）。この”Ａ”値は、前述した様に大きい値である程、中央の測距エリアに近い位置にある被写体であるか、あるいは速い被写体であり、選択する測距エリアを決定するために用いられる値である。
【０１６８】
次に、この”Ａ”値が撮影画面内の測距エリア内で最大であれば設定エリアを選択する（ステップＳ１１６，Ｓ１１７）。また、ステップＳ１１３で像移動が検出不能の測距エリア、ステップＳ１１４で被写体が動体でなかった、若しくはステップＳ１１６で”Ａ”値が最大でなかった場合は、全測距エリアの動体判定が終了したか否かを判定する（ステップＳ１１８）。この判定で、終了していれば（ＹＥＳ）、リターンする。終了していなければ（ＮＯ）、次の測距エリアを設定して（ステップＳ１１９）、上記ステップＳ１１２に戻る。
【０１６９】
このような測距エリア選択のルーチンによって、画面の中央を重視しつつ、周辺から中央に移動している被写体も重視する測距エリア選択ができる。
【０１７０】
以上説明したように、この第３の実施形態によれば、被写体の画面内の移動方向（光軸に垂直な方向の移動方向）を判定し、周辺から中央に向かう被写体を中央から周辺に向かう被写体よりも優先的に選択するため、効果として、露光時により中央に位置する確率が高く（測距精度よい）、被写体が露光時に画面から外れてしまう確率も低くなり、さらに、より主要被写体である確率も高くなる。
【０１７１】
次に、図２６に示すフローチャートを参照して、第３の実施形態における被写体が動体であった時の測距エリア選択の変形例について説明する。この変形例は、中央に向かって移動している被写体が最も中央に近い測距点に存在する被写体を選択するエリアに設定するものである。
【０１７２】
まず、初期測距エリアを設定し（ステップＳ１１１）、像移動が検出可能と判定された測距エリアであるかを判定し（ステップＳ１１３）、検出可能な測距エリアであれば（ＹＥＳ）、被写体が移動している動体であるか否かを判定する（ステップＳ１１４）。この判定で、設定エリアの被写体が動体であれば（ＹＥＳ）、この被写体が画面の中央に向かって移動しているか否かを定し（ステップＳ１２２）、被写体が中央に向かって移動している場合には（ＹＥＳ）、その被写体が最も中央に近い測距点に存在しているか否かを判定する（ステップＳ１２３）。一方、被写体が中央に向かわず、それ以外の周辺に向かって移動しているならば（ＮＯ）、選択されるエリアが存在しないものと見なし、第２候補として設定する（ステップＳ１２４）。
【０１７３】
また上記ステップＳ１２３の判定において、被写体が最も中央に近い測距点に存在していれば（ＹＥＳ）、この設定エリアを選択する（ステップＳ１１７）。しかし、被写体が最も中央に近い測距点に存在していなけば（ＮＯ）、ステップＳ１２４に移行して、第２候補として設定する。その後、全測距エリアの動体判定が終了したか否かを判定する（ステップＳ１１８）。この判定で、終了していれば（ＹＥＳ）、リターンする。終了していなければ（ＮＯ）、次の測距エリアを設定して（ステップＳ１１９）、上記ステップＳ１１２に戻る。
【０１７４】
この変形例によれば、図２３（ａ）の構図で、被写体７０と被写体７１が存在しなかった場合に、被写体７２が選択され、被写体７０のみ存在しなかった場合には被写体７１が中央に向かっているのでこれを選択する。従って、図２５の測距エリア選択とは異なって、移動速度ではウエイト付けしておらず、単に移動方向と存在するエリアによって最終的な選択エリアを設定している。
【０１７５】
尚、本出願人出願の特開平１１−４４８３７号公報には、図１３のｔ＝ｔ０のセンサデータとｔ＝ｔ１のセンサデータの間の相関演算の信頼性から動体判定する方法が開示されている。
エリアセンサを使用した例で説明したが、複数のラインセンサを用いてもよい。撮影画面内１５に測距エリアすべての焦点検出領域を使用する例で説明したが、タイムラグを短縮する観点から領域を間引いたり（例、周辺の領域を省く）してもよい。
【０１７６】
あるいは、複数の測距エリアを１つのグループとして、分割してもよい。その場合には、図７に示した測距エリアの分割の仕方のみが異なっている。
移動速度検出方法は、本実施の形態で説明した以外の方法でもよい。
例えば、Ｓ４３で検出される像ずれ量の時間変化を演算してもよい。また、移動速度を演算して動体判定しなくとも、像移動量の大小から直接動体判定してもよい。
【０１７７】
以上の実施形態について説明したが、本明細書には以下のような発明も含まれている。
【０１７８】
（１）撮影画面に複数の焦点検出領域を持つ多点自動焦点カメラにおいて、
各焦点検出領域内における被写体像の速度分布の変化量を検出する像速度変化量検出手段と、
上記像速度変化量検出手段の出力に基づいて、被写体が移動しているか否かを判定する動体判定手段と、
上記動体判定手段により、複数の測距エリアで被写体が動体であると判定された場合には、中央に近い測距エリアの方を優先して合焦測距エリアとして選択する選択手段とを具備し、
上記動体と判定された被写体のうち、撮影画面中央に近い被写体が存在する焦点検出領域に合焦することを特徴とする多点自動焦点カメラ。
【０１７９】
（２）上記撮影画面に配置された焦点検出領域のそれぞれに対して、動体判定を行うための係数を、撮影画面中央に近い焦点検出領域ほど小さい値を設定することにより、測距エリア選択時に撮影画面中央に近い焦点検出領域を優先させる事を特徴とする上記（１）に記載の多点自動焦点カメラ。
【０１８０】
（３）上記動体判定手段により撮影画面内で判定された複数の被写体が共に動体であると判定された場合には、撮影画面中央に近い被写体が存在する焦点検出領域を選択することを特徴とする上記（１）に記載の多点自動焦点カメラ。
【０１８１】
【発明の効果】
以上詳述したように本発明によれば、撮影画面内に複数の測距エリア（焦点検出領域）が配置され、移動する被写体に合焦させる場合に、測距精度が高い画面中央における動体判定を優先しつつ、画面全体を測距して動体判定を行い、その判定結果に基づき、撮影レンズの合焦を行う焦点検出機能を備える多点自動焦点カメラを提供することができる。また、画面の周辺から中央に向かって移動する被写体を検出したならば、この被写体を優先して測距エリアとして選択することにより、露光時により中央に近い位置に被写体が存在する確率が高くなる上、露光時に被写体が画面から外れてしまう確率を低くすることができる。
【図面の簡単な説明】
【図１】本発明の多点自動焦点カメラの焦点検出機能における概念的なブロック構成を示す図である。
【図２】本発明による多点自動焦点カメラとして、一眼レフレックスカメラに適用した構成例の断面を示す図である。
【図３】測距を含む光学系を模式的に示す図である。
【図４】図２において説明したカメラの電気制御系を含む機能ブロックを示す図である。
【図５】図４に示したエリアセンサの具体的な回路構成を示す図である。
【図６】エリアセンサの画素ユニットの具体的な回路構成を示す図である。
【図７】撮影画面内の検出領域を構成する各測距エリアの配置例を示す図である。
【図８】エリアセンサの蓄積動作について説明するためのタイムチャートである。
【図９】２つのエリアセンサを構成する測距エリアの配置例を示す図である。
【図１０】エリア対応するフォトダイオードの配列を直線的に示す図である。
【図１１】像ずれ量検出ルーチンに関する処理手順に基づいて説明するためのフローチャートである。
【図１２】移動する被写体に対する焦点検出の原理を説明するための図である。
【図１３】被写体像の移動について説明するための図である。
【図１４】移動量検出ルーチンについて説明するためのフローチャートである。
【図１５】ＡＦ検出ルーチンについて説明するためのフローチャートである。
【図１６】第１の実施形態において被写体像移動量を検出のためのシフトについて説明するための図である。
【図１７】撮影画像の構図として、電車がカーブに差し掛かったシーンを例として示す図である。
【図１８】本発明の多点自動焦点カメラを適用したカメラのメインルーチンについて説明するためのフローチャートである。
【図１９】動体判定について説明するためのフローチャートである。
【図２０】本発明の多点自動焦点カメラに係る第２の実施形態における測距エリア毎の所定速度Ｖｔｈ値の設定について説明するためのフローチャートである。
【図２１】第２の実施形態における撮影画面に配置された全測距エリアの速度分布と速度分布の変化を示す図である。
【図２２】被写体が動体であった時の測距エリア選択について説明するためのフローチャートである。
【図２３】次に本発明による多点自動焦点カメラに係る第３の実施形態について説明するための図である。
【図２４】第３の実施形態におけるＡＦ検出ルーチンについて説明するためのフローチャートである。
【図２５】第３の実施形態における被写体が動体であった時の測距エリア選択について説明するためのフローチャートである。
【図２６】第３の実施形態の変形例について説明するためのフローチャートである。
【符号の説明】
１…焦点検出部（エリアセンサ）
２…焦点演算部
３…像移動量演算部
４…測距エリア選択部
５…焦点制御部
６…焦点調節部[0001]
BACKGROUND OF THE INVENTION
The present invention relates to a multipoint autofocus camera having a focus detection function for arranging a plurality of focus detection areas (ranging areas) in a shooting screen and measuring a distance, and focusing a shooting lens based on the distance measurement result. .
[0002]
[Prior art]
From a spot distance measurement in which a single focus detection area (hereinafter referred to as a distance measurement area or area) is arranged in the vicinity of the center of the conventional image capture screen, a plurality of distance measurement areas are arranged in the image capture screen. There is a multipoint autofocus camera that has a ranging function for performing multipoint distance measurement and performs focusing automatically.
[0003]
A general multi-point autofocus camera has a three-range area specification in which a distance measurement area is arranged in the center of the shooting screen and on the left and right sides thereof, and above and below the distance measurement area at the center of these three distance measurement areas. There is a specification of five ranging areas arranged one by one, but recently, cameras with more ranging areas are commercialized, and the ranging areas tend to increase.
[0004]
In the future, there may be a range finding area that covers the entire shooting screen. The following techniques are known as conventional techniques for photographing a subject moving within a photographing screen with such a camera.
[0005]
For example, in the case where the subject existing in the shooting screen is determined to be a moving subject in Japanese Patent Application Laid-Open No. 5-11170, the present applicant prohibits distance measurement in a distance measurement area around the subject. Has proposed. According to this technique, a moving object detection operation that requires multiple times of distance measurement and takes time is performed before pressing the shutter button for release, a moving subject is specified, and the distance measurement is performed by detecting the moving subject. By measuring the distance only in the area, the time lag of the shutter can be shortened.
[0006]
In Japanese Patent No. 2756330, when the servo mode (continuous AF, a mode in which a moving object predictive AF control that generally follows a moving object is set) is set, the center of the shooting screen is set as a distance measuring area. The technology to select as is proposed. In this technique, when shooting a moving subject, the subject on the closest side is not considered as the main subject to be photographed, and the distance measurement area is fixed assuming that the main subject exists in the center of the shooting screen. .
[0007]
The reason for selecting the center of the shooting screen in these conventional techniques as the distance measurement area is that if the subject moving by shaking the camera is chased to remain in the shooting screen, the probability that the subject exists in the center of the screen is high. Based on this fact, the distance measuring operation on the peripheral side of the shooting screen can be omitted by this technique, and the time lag in pressing the shutter button can be shortened.
[0008]
In addition, when the distance is measured at the center of the shooting screen, that is, near the center of the shooting lens, the aberration increases as the shooting lens moves toward the periphery. This is advantageous in terms of resolving power.
[0009]
Therefore, focusing on a moving subject according to the prior art is excellent in terms of shortening the time lag and increasing the resolution.
[0010]
[Problems to be solved by the invention]
However, the conventional technique for selecting and focusing only the distance measuring area at the center of the shooting screen described above cannot accurately focus when the moving subject is out of the center of the shooting screen.
[0011]
For example, a case where the scene to be photographed has a composition including a moving subject as shown in FIG. 17A will be described as an example.
[0012]
FIG. 17A shows a scene in which a running train approaches a curve, and FIG. 17B shows an arrangement example of ranging areas P1 to P15 arranged on the shooting screen. In this arrangement example, the correspondence between the distance measurement areas is shown in both figures so that it can be easily understood. For example, the center distance measurement area P3 is located at the intersection of line B and line D. The distance area P15 is located at the intersection of the line C and the line H. A description will be given by taking the center horizontal line B as an example.
[0013]
As shown in FIG. 17A, since the distance measurement area P1 measures the background, the moving speed of the subject detected here is “0”.
[0014]
On the other hand, since the distance measurement areas P2 to P5 are distance-measuring the train, the moving speed of the subject detected here is measured. Since the front of the train is closer to the camera, the moving speed detected in each ranging area is as follows.
[0015]
Ranging area P1 = 0 <Ranging area P2 <Ranging area P3 <Ranging area P4 = Ranging area P5
In the techniques described in Japanese Patent Laid-Open No. 5-11170 and Japanese Patent No. 2756330, when a moving subject is measured, the distance is measured only in the distance measuring area at the center of the shooting screen. The photograph is focused on the area P3.
[0016]
However, since the distance measurement area P3 measures the side of the train, it does not focus on the front end of the train and becomes a rear pin in the appearance of the photograph.
[0017]
Also, it is more difficult for a fast-moving moving subject to keep the subject at the center of the shooting screen than when it is a stationary subject, and if it moves away from the center of the shooting screen, it will not focus on the moving subject at all. There are many possibilities.
[0018]
Therefore, the present invention provides a plurality of ranging areas (focus detection areas) in the shooting screen, and when focusing on a moving subject, the whole screen is given priority to moving object determination at the center of the screen with high ranging accuracy. An object of the present invention is to provide a multi-point autofocus camera having a focus detection function for measuring a moving object and determining a moving object and focusing a photographing lens based on the determination result.
[0019]
[Means for Solving the Problems]
In order to achieve the above object, the present invention provides a multipoint autofocus camera having a plurality of focus detection areas, an image movement calculation means for calculating an amount related to movement of a subject image within each focus detection area, and the image movement calculation described above. Moving object determining means for determining whether or not the subject is moving based on the output of the means; If there are a plurality of movement direction calculation means for calculating the movement direction of the subject in the screen based on the output of the image movement calculation means, and a plurality of focus detection areas determined by the moving object determination means as moving objects, the movement Selecting means for preferentially selecting a focus detection area indicating that the moving direction calculated by the direction calculating means is directed from the periphery to the center of the screen. Provide multi-point autofocus camera.
[0020]
The multi-point autofocus camera configured as described above is a subject by moving object determination with a weight placed at the center of the screen based on the amount of subject image movement obtained from the entire shooting screen when focusing on the moving subject. However, by selecting a distance measurement area close to the center of the screen with priority from the moving object determination result, distance measurement is performed on the entire screen while giving priority to the center of the screen, and the photographing lens is focused based on the distance measurement result.
[0021]
DETAILED DESCRIPTION OF THE INVENTION
Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.
FIG. 1 is a diagram showing a conceptual block configuration of the focus detection function in the multipoint autofocus camera of the present invention.
This multipoint autofocus camera includes an AF sensor that outputs a focus detection signal, for example, a focus detection unit 1 including an area sensor, and a focus calculation unit 2 that performs calculations necessary for focus adjustment based on the output focus detection signal. And, based on the calculation result from the focus calculation unit 2, an image movement amount calculation unit 3 that calculates an amount related to the image movement of the subject, and an output of the image movement amount calculation unit 3 in a plurality of distance measurement areas. Based on a distance measurement area selection unit 4 for selecting a focus detection area, a focus control unit 5 including a CPU that controls focus of these components, and a control signal from the focus control unit 5 And a focus adjusting unit 6 that drives a photographing lens (not shown) to a focus position to achieve a focus state.
[0022]
FIG. 2 is a sectional view of a configuration example applied to a single-lens reflex camera as a multipoint autofocus camera according to the present invention.
This camera includes a focus detection unit 11 for detecting the focus at the lower part of the camera body 10. At normal times, the light beam (subject image) that has passed through the photographic lens 12 is reflected by the main mirror 13 toward the upper part of the finder 14 and the remaining light beam is transmitted and travels straight. The light beam reflected by the main mirror 13 is guided to the finder 14 via the pentaprism, and enters the observer's eyes as a photographing screen. On the other hand, the light beam transmitted through the main mirror 13 is reflected downward by the sub-mirror 15 integrally attached to the main mirror 13 and guided to the focus detection unit 11.
[0023]
The focus detection unit 11 totally reflects the luminous flux, a field mask 17 that narrows the luminous flux that has passed through the photographing lens 12, an infrared cut filter 18 that cuts infrared light components, a condenser lens 19 that collects the luminous flux, and the like. Total reflection mirror 20, pupil mask 21 for limiting the amount of light beam passing through, re-imaging lens 22 for re-imaging the light beam on photoelectric conversion element group 26 on area sensor 23, photoelectric conversion element group 26 and its The area sensor 23 is composed of a processing circuit.
[0024]
At the time of photographing with such a camera, the main mirror 13 and the sub mirror 15 are mirrored up and retracted to the position of the dotted line, the shutter 24 is opened for a predetermined time, and the light beam (subject image) that has passed through the photographing lens 12 is applied to the film 25. Exposed.
[0025]
3A and 3B schematically show an optical system including distance measurement.
FIG. 3A shows the configuration of a focus detection optical system (phase difference detection optical system) that guides a light beam (subject image) onto the photoelectric conversion element group 26 of the area sensor 23 in the focus detection unit 11. b) shows a perspective view thereof.
[0026]
This focus detection optical system includes a photographing lens 12, a field mask 17 that defines a field range, a condenser lens 19, and an opening 21a disposed substantially symmetrically with respect to the optical axis of the photographing lens 12 in the optical path. A pupil mask 21 having 21b is provided, and further, re-imaging lenses 22a and 22b are provided behind the openings 21a and 21b, respectively. In FIG. 3A, the above-described total reflection mirror 20 is omitted.
[0027]
In such a configuration, the subject luminous flux that has entered through the areas Ha and Hb of the exit pupil H of the photographing lens 12 is sequentially connected to the field mask 17, the condenser lens 19, the openings 21a and 21b of the pupil mask 21, and the reconnection. The images pass through the image lenses 22a and 22b, respectively, and are re-imaged on the photoelectric conversion element groups 26 in the two regions 23a and 23b in which a large number of photoelectric conversion elements in the area sensor 23 are arranged. For example, when the photographing lens 12 is “in focus”, that is, when the subject image 1 is formed on the imaging plane G, the subject image 1 is perpendicular to the optical axis O by the condenser lens 19 and the re-imaging lenses 22a and 22b. The image is re-imaged on the photoelectric conversion element group 26 of the area sensor 23, which is a secondary image formation surface, to become a first image I1 and a second image I2 as illustrated.
[0028]
When the photographing lens 12 is a “front pin”, that is, when a subject image F is formed in front of the imaging plane G, the subject images F are perpendicular to the optical axis O in a form closer to each other. Are re-imaged into a first image F1 and a second image F2.
[0029]
Further, when the subject lens R is formed on the rear pin, that is, behind the imaging plane G, the subject image R is re-perpendicular to the optical axis O in a form separated from the optical axis O by each other. An image is formed to become a first image R1 and a second image R2.
Therefore, by detecting and measuring the distance between the first image and the second image, the in-focus state of the photographic lens 12 can be detected including the front pin and the rear pin. Specifically, the light intensity distribution of the first image and the second image is obtained from the output of subject image data corresponding to the area sensor 23 (openings 23a and 23b) so that the interval between the two images can be measured. It is configured.
[0030]
FIG. 4 shows functional blocks including the electric control system of the camera described in FIG. 2, and the detailed configuration and operation of each part will be described.
In this configuration, the control unit 30 performs overall control of the entire camera, and includes an arithmetic / processing unit 31 including a CPU, a ROM 32, a RAM 33, and an A / D converter 34, for example. Yes.
[0031]
The control unit 30 controls a series of operations of the camera according to a camera sequence program (detailed later) stored in the ROM 32. Further, the EEPROM 35 can store and hold correction data relating to AF control, photometry, etc. as information unique to each camera body. Further, the area sensor 23, the lens driving unit 33, the encoder 37, the photometry unit 39, the shutter driving unit 40, the aperture driving unit 41, and the film driving unit 42 are connected to the control unit 30 so as to be able to communicate with the control unit 30. Has been.
[0032]
In such a configuration, the lens driving unit 36 drives the focusing lens 12a of the photographing lens 12 with the motor ML38 based on the control of the control unit 30. At this time, the encoder 37 generates a pulse corresponding to the amount of movement of the focusing lens 12a and sends the pulse to the control unit 30, so that lens driving is appropriately controlled.
[0033]
The photometry unit 39 has an SPD (silicon photodiode) corresponding to the photographing area, and generates an output corresponding to the luminance of the subject. The control unit 30 converts the photometric result of the photometric unit 39 into a digital signal by the A / D converter 34 and stores the photometric value in the RAM 33.
[0034]
The shutter drive unit 40 and the aperture drive unit 41 operate in accordance with a predetermined control signal from the control unit 30 to drive a shutter mechanism and an aperture mechanism (not shown) to expose the film surface.
[0035]
The film drive unit 42 performs film auto-loading, winding and rewinding operations according to a predetermined control signal from the control unit 30. The first release switch (hereinafter referred to as 1RSW) and the second release switch (hereinafter referred to as 2RSW) are interlocked with the release button. Subsequently, 2RSW is turned on by the pressing operation in the second stage. The control unit 30 appropriately controls each part so that photometry and AF (automatic focus adjustment) processing is performed when 1RSW is on, and exposure operation and film winding operation are performed when 2RSW is on.
[0036]
FIG. 5 shows a specific circuit configuration of the area sensor 23 described above.
[0037]
The pixel portion (that is, the photoelectric conversion element group 26) in the area sensor 23 is composed of a large number of pixel units 51 that are regularly arranged in a matrix.
[0038]
In this configuration, the accumulation control unit 52 controls the accumulation operation of the pixel unit in accordance with a control signal from the control unit 30. The output V0 of each pixel unit 51 is selected by the vertical shift register 53 and the horizontal shift register 54 and input to the buffer 55. The output SDATA from the buffer 55 is input to the A / D converter 34 in the control unit 30 and A / D converted.
[0039]
The output VM of each pixel unit 51 is connected to the output VM of a predetermined plurality of pixel units 51 and is input to the buffer 55 via the switches MSL1 to MSLn.
[0040]
In the area 56, the potential at the point M connecting the outputs VMn of the plurality of pixel units 51 generates a potential corresponding to the peak value of the outputs VMn in the plurality of pixel units 51. Constitutes a peak detection circuit that outputs them. Accordingly, when the switches MSL1 to MSLn are sequentially turned on, the potential corresponding to the peak value in each distance measuring area 56 can be monitored via the buffer 55. The output VP of the buffer 55 is input from the terminal MDATA to the A / D converter 34 in the control unit 30 and A / D converted.
[0041]
Next, FIG. 6 shows a specific circuit configuration of the pixel unit 51 described above.
The pixel unit 51 includes a photodiode 61 that functions as a photoelectric conversion element, a capacitor 62, an amplifier 63, switches 64 and 65, and an NMOS transistor 66.
[0042]
An amplifier 63 is connected to the output side of the photodiode 61, and a capacitor 62 is connected to the input / output terminal of the amplifier 63, and charges generated by the photodiode 61 are accumulated.
[0043]
The output side of the amplifier 63 is connected to an output terminal (output V0) via serially connected switches 64 and 65 which are switched on and off by signals Xn and Yn from the vertical shift register 53 and the horizontal shift register 54, respectively. Connected.
[0044]
Further, the output side of the amplifier 63 is connected to the gate of the NMOS transistor 66 whose drain is connected to a fixed voltage, and the source of the NMOS transistor is connected to the monitor output terminal (monitor output VM).
[0045]
In such a circuit configuration, the output of the amplifier 63 is assumed to change in a direction in which the potential increases as the accumulation amount of the capacitor 62 increases. Since the monitor output VM is connected to the outputs of the plurality of pixel units 51, a potential indicating the peak value of the accumulated amount is generated. In this way, each pixel unit 51 performs photoelectric conversion and supplies an output as an element corresponding to the distance measurement area to the image movement amount calculation unit 3 described above.
[0046]
Next, FIG. 7 shows an arrangement example of the distance measuring areas P1 to Pn constituting the focus detection area in the photographing screen.
The switches MSL1 to MSLn described above are connected corresponding to the respective ranging areas 1 to n. Therefore, for example, when one of the switches MSL1 to MSLn is turned on, the corresponding ranging area The peak output VM in Pm is selected and output to the monitor terminal MDATA.
[0047]
Further, for example, when a plurality of switches are turned on, peak values in the plurality of ranging areas can be monitored. For example, when all the switches MSL1 to MSLn are turned on, the peak values in all the distance measurement areas of the area sensor 23 can be output and monitored at the MDATA terminal.
[0048]
The accumulation operation of the area sensor 23 described above will be described with reference to the time chart shown in FIG. Here, a description will be given taking distance measuring areas P5, P6, and P7 in the shooting screen as an example.
After starting the accumulation operation of the area sensor 23 by the accumulation start signal (INTS), the control unit 30 refers to the peak value in order for each distance measurement area. At this time, the distance measurement area that reaches the appropriate accumulation level the fastest is preferentially referred to. When the peak value of the distance measurement area reaches the appropriate accumulation level, accumulation is performed for each distance measurement area by the accumulation end signal (INTE). End the operation.
[0049]
That is, as shown in FIGS. 9A and 9B, the two area sensors 23a and 23b constituting the area sensor simultaneously correspond to the distance measuring areas corresponding to each, for example, a5 and b5 corresponding to the distance measuring area P5. The accumulation operation is terminated. That is, the accumulation operation of am, bm, (1 ≦ m ≦ n) corresponding to a certain distance measurement area is sequentially performed on all the distance measurement areas.
[0050]
10A and 10B linearly show the arrangement of the photodiodes 61 corresponding to one distance measuring area m of am and bm.
[0051]
The photodiode array am constituting the right area sensor 23a can be expressed as L (1), L (2), L (3),..., L (64), and the subject image signal is sequentially processed. Similarly, the photodiode array bm constituting the left area sensor 23b is represented as R (1), R (2), R (3),..., R (64), and the subject image signal is also processed sequentially. The
[0052]
Therefore, the control unit 30 detects each subject image as data by controlling each unit as follows.
That is, when the control unit 30 inputs the read clock CLK to the area sensor 23, sensor data that is a subject image signal is sequentially output from the terminal SDATA of the area sensor 23. Therefore, the sensor data is A / D converted by the A / D converter 34 in the control unit 30 and sequentially stored in the RAM 32. In this way, the control unit 30 can, for example, designate a certain distance measurement area and read only the sensor data corresponding to the distance measurement area.
[0053]
Next, the AF detection calculation based on the subject image data obtained as described above will be described. For example, in this embodiment, there are two types of correlation calculations. One of the methods is a method of calculating a shift amount between two images (referred to as “image shift amount”) by performing a correlation calculation between the first subject image and the second subject image divided by the focus detection optical system. . The other method is a method in which a correlation calculation is performed between the subject image at time t0 and the subject image at time t1 to obtain a movement amount of the subject image.
[0054]
(I) Correlation calculation for obtaining image shift amount:
First, the correlation calculation for obtaining the image shift amount between the first subject image and the second subject image will be described. The subject image data is generally L (i, j) for each of the pair of area sensors 23a and 23b. , R (i, j).
[0055]
In the following description, for the sake of simplicity, a pair of distance measuring areas corresponding to the area sensors 23a and 23b, that is, one-dimensional subject image data, are respectively represented as L (I) and R (I) (I = 1 to k). This will be described (see FIG. 10). Here, in the present embodiment, k = 64 will be described with reference to the flowchart shown in FIG. 11 based on the processing procedure related to the “image shift amount detection” routine.
[0056]
First, initial values of variables SL, SR and FMIN are set (step S1). Here, SL ← 5, SR ← 37, and FMIN = FMIN 0 are set.
[0057]
Next, 8 is input as the initial value of the loop variable J (step S2), and the correlation calculation of equation (1) is performed to obtain the correlation value F (s) (step S3).
[0058]
F (s) = Σ | L (SL + I) −R (SR + I) | (1)
(However, s = SL-SR, I = 0 to 26)
However, variables SL and SR are variables indicating the head position of a block on which correlation calculation is performed among the subject image data L (I) and R (I), respectively, and J is a block of the block on the subject image data R (I). It is a variable for storing the number of shifts, and the number of subject image data in a block is 27.
[0059]
Next, the correlation value F (s) is compared with FMIN (initial value FMIN 0 at first, and initial value or updated value after the second time) (step S4). In this comparison, if F (s) is smaller (YES), FMIN is updated to F (s), and SLM and SRM are updated to SL SR (step S5).
[0060]
On the other hand, if FMIN is smaller than the correlation value F (s) in the comparison in step S4 (NO), 1 is subtracted from SR and J to set the next block (step S6). Then, it is determined whether or not J = 0 (step S7). If it is not yet 0 (NO), the process returns to step S3 and the same correlation calculation is repeated. In this way, the block in the subject image data L (I) is fixed, and the block in the subject image R (I) is shifted one element at a time to perform correlation calculation.
[0061]
On the other hand, if J is 0 in the determination in step S7 (YES), 4 and 3 are added to the variables SL and SR, respectively, and the next block is set as a target (step S8). Next, it is determined whether or not SL = 29 (step S9). If not 29 (NO), the process returns to step S2 to continue the correlation calculation. However, if SL = 29 (YES), the correlation calculation is terminated. In this way, the block for performing the correlation calculation is set on the subject image data L (I) and R (I), and the correlation calculation is repeatedly performed. As a result of the correlation calculation of each block obtained in this way, the correlation value F (s) becomes the minimum at the shift amount s = x where the correlation of the subject image data is the highest. At this time, SL and SR at the time of the minimum correlation value F (x) are stored in SLM and SRM.
[0062]
Next, the following correlation values FM and FP at the shift positions before and after the minimum correlation value F (x) used when calculating the reliability index described later are obtained (step S10).
[0063]
[Expression 1]

[0064]
Then, a reliability index SK for determining the reliability of the correlation calculation is calculated (step S11). This reliability index SK is obtained by calculating the sum of the minimum correlation value F (x) and the second smallest correlation value FP (or FM) as a value corresponding to the contrast of the object data (FM -F (x) or FP -F (x )) Is a numerical value standardized by (4) or (5).
[0065]
[Expression 2]

[0066]
Next, it is determined whether or not the reliability index SK is greater than or equal to a predetermined value α (step S12). If SK is greater than or equal to α (YES), it is determined that the reliability is low and an undetectable flag is set ( Step S13). On the other hand, when SK is less than α (NO), it is determined that there is reliability, and the image shift amount ΔZ is calculated (step S14). For example, the shift amount x0 that gives the minimum value FMIN = F (x0) with respect to the continuous correlation amount is obtained by the following equation using a three-point interpolation method.
[Equation 3]

[0067]
It should be noted that the image shift amount ΔZ can be obtained by Expression (8) using the shift amount x0.
ΔZ = x0−ΔZ0 (8)
(However, ΔZ0 is an image shift amount at the time of focusing).
[0068]
Further, the defocus amount ΔD of the subject image plane with respect to the planned focal plane can be obtained from equation (9) from the image shift amount ΔZ obtained by the above equation.
[Expression 4]

[0069]
The defocus amount is calculated for each of the plurality of distance measuring areas selected in this way. Then, for example, a defocus amount indicating the shortest distance is selected from a plurality of ranging areas.
[0070]
Further, the lens driving amount ΔL is obtained from the selected defocus amount ΔD by Expression (10).
[Equation 5]

[0071]
A focus state can be obtained by driving the focus lens based on the lens driving amount ΔL.
[0072]
(II) Principle for predicting subject image position:
The principle of focus detection for the moving subject shown in FIGS. 12 (a) to 12 (d) will be described.
[0073]
In FIG. 12, when the relationship between the subject 66, the camera 10, and the area sensor 23 is seen, for example, as shown in FIG. 12 (a), the subject 66 approaches straight toward the camera 10 (in the direction of arrow G3). The first and second subject images on the first (L) and the second sensor (R) move outward from each other between time t0 and time t1 in accordance with the focus detection principle described above. In this case, the movement amounts ΔXL and ΔXR of the subject image are equal.
[0074]
Also, as shown in FIG. 12B, when the subject 66 moves parallel to the horizontal direction (arrow G1 direction) orthogonal to the optical axis toward the camera 10, the two subject images move in the same direction. In this case, the movement amounts ΔXL and ΔXR of the subject image are equal.
[0075]
Further, as shown in FIG. 12C, when the subject 66 approaches the left front (in the direction of arrow G4) toward the camera 10, the first subject image (L) moves outward due to the approach. Then, the amount of movement to the left due to the parallel movement to the left is canceled and the amount of movement becomes small.
[0076]
Similarly, as shown in FIG. 12 (d), when the subject 66 moves backward leftward toward the camera 10, the first subject image (L) moves inward by moving away and translates leftward. The amount of movement to the left due to this is offset and the amount of movement becomes smaller. On the other hand, the amount of movement of the second subject image (R) is increased by adding the amount of inward movement due to moving away and the amount of leftward movement due to parallel movement to the left.
[0077]
Here, based on the subject image from time t0 to time t1, the movement amounts ΔXL and ΔXR of the first and second subject images are detected by means for performing correlation calculation described later, and the rightward movement is + and The movement amount of the subject image in the optical axis direction can be obtained by ΔXR−ΔXL, and the movement amount of the subject image in the horizontal direction can be obtained by ΔXR + ΔXL. Therefore, if the movement amounts ΔXR and ΔXL of the subject image from time t0 to time t1 are obtained, the position of the subject image at time t2 can be predicted.
[0078]
If the subject is moving at a constant speed, the moving speed of the subject image in the horizontal direction is a constant speed. Although the moving speed of the subject image in the optical axis direction is not strictly constant, it may be considered constant at a minute time interval.
Accordingly, the predicted position of the first subject image at time t0 has moved by ΔXL ′ shown in Expression (11) from the subject image position at time t1. That is,
[Formula 6]

[0079]
Similarly, the predicted position of the second subject image moves by ΔXR ′ shown in Expression (12).
[0080]
[Expression 7]

[0081]
Also, assuming that the image shift amount of the first and second subject images at time t1 is ΔZ, the predicted image shift amount ΔZ ′ at time t2 is obtained as shown in Expression (13).
[Equation 8]

[0082]
Then, based on the predicted image shift amount ΔZ ′, the lens drive amount is obtained. By setting the time t2 as the time until the start of exposure, it is possible to obtain a photograph focused on the moving subject. At this time, whether the subject is approaching or moving away is determined based on the sign of ΔXR−ΔXL. If ΔXR−ΔXL> 0, the subject is approaching.
[0083]
Next, the correlation calculation for determining the movement of the subject image and its reliability determination will be described. By the correlation calculation between the subject images L ′ (I), R ′ (I) and the two images described above at time t0. The obtained correlation blocks SLM ′, SRM ′, correlation coefficient SK ′, and image shift amount ΔZ ′ are respectively stored in the RAM 42 in the control unit 30. Thereafter, the subject image signals L (I) and R (I) at time t1 are detected.
[0084]
Next, movement amount detection will be described with reference to the movement of the subject image shown in FIG. 13 and the flowchart shown in FIG.
[0085]
First, for the first subject image signal, correlation calculation is performed on the subject image signal L ′ (I) at time t0 and the subject image signal L (I) at time t1. In the “movement amount detection” routine for detecting the movement of the subject image, first, SLM′-10 is substituted for the variable SL (step S21), and the variable J is a variable for counting the correlation range. 20 is substituted (step S22).
[0086]
Next, the correlation output F (s) is calculated from the correlation equation of equation (14) (step S23).
[0087]
[Equation 9]

[0088]
Subsequently, similarly to the correlation calculation described above, F (s) and FMIN are compared (step S24). If F (s) is smaller than FMIN in this comparison (YES), F (s) is substituted for FMIN. And SL is stored in SLM (step S25). In this case, the number of elements in the block to be correlated is 27, which is the same as the number of elements in the block when obtaining the above-described image shift amount. However, if F (s) is larger than FMIN (NO), the process proceeds to the next step S26.
[0089]
Next, 1 is added to SL, and 1 is subtracted from J (step S26). Then, it is determined whether or not J = 0. If J is not 0 (NO), the process returns to step S23 until J = 0, and the correlation equation F (s) is repeated. As described above, the correlation range is changed up to ± 10 elements to obtain the correlation, and this correlation range is determined by the movement amount range to be detected. Here, when J = 0 (YES), the reliability is determined.
[0090]
That is, the correlation values FM and FP at the shift amounts before and after the minimum correlation value F (X) are obtained by the equations (15) and (16), as in the case of obtaining the image shift amounts of the first and second subject images. ) (Step S28).
[0091]
[Expression 10]

[0092]
Next, the reliability index SK is obtained by the above-described equations (4) and (5) (step S29). Then, it is determined whether SK> β (step S30). When SK ≦ β in this determination (NO), it is determined that there is reliability, and the movement amount is obtained (step S31). However, the value β is set to a value larger than the determination value α when the image shift amounts of the first and second subject images are obtained. This is because the waveform is likely to be deformed when the subject is moving, and therefore there is a high possibility that the correlation will deteriorate.
[0093]
Then, a movement amount ΔXL of the subject image is obtained. Similar to the calculation of the image displacement amounts of the first and second subject images described above, the three-point interpolation method is used to obtain the equations using the equations (17) and (18).
## EQU11 ##

[0094]
On the other hand, if it is determined in step S30 that the relationship SK> β is satisfied (YES), it is determined that there is no reliability, and an undetectable flag is set (step S32).
[0095]
Although details are omitted for the second subject images R (I) and R ′ (I), a similar movement amount detection routine is executed to obtain the block position SRM and movement amount ΔXR having the highest correlation.
When the movement amounts ΔXL and ΔXR of the first and second subject images are obtained, the image deviation amount ΔZ ′ at time t1 is obtained from the image deviation amount ΔZ at time t0 as shown in Expression (19). .
[Expression 12]

[0096]
Based on the image shift amount ΔZ at time t0, the prediction formula of the image shift amount ΔZ ″ at time t2 is as shown in Equation (20).
[Formula 13]

[0097]
By obtaining the time t2 by a method described later and driving the lens by an amount based on ΔZ ″, it is possible to focus on the moving subject at the time t2.
[0098]
If the moving speed of the subject image v = (ΔXR−ΔXL) / (t1−t0) is too large, the detected value is not reliable and the image shift amount is not predicted. Further, when the moving speed of the subject image is small and is regarded as a detection error, the moving speed is set to zero.
[0099]
(III) Prediction formula of image shift amount prediction time t2:
Here, a method for obtaining the time t2 for predicting the image shift amount will be described.
As described above, the image shift amount ΔZ ″ at time t2 is obtained by the equation (20) using the image shift amount ΔZ at time t1 and the subject image shift amounts ΔXR and ΔXL from time t0 to time t1.
[0100]
Now, a time t2 at which an in-focus state is obtained during exposure is obtained by Expression (21).
[Expression 14]

[0101]
In this equation, td is the time from the time t1 to the start of lens driving, and this value includes the processing time inside the camera such as the correlation calculation time described above.
Here, ke is a conversion coefficient for obtaining a lens driving time proportional to the image deviation amount ΔZ ″. The lens driving amount ΔL is obtained by Expressions (9) and (10) based on the image deviation amount ΔZ ″. However, in a region where the image shift amount ΔZ ″ is sufficiently small, the defocus amount ΔD and the lens drive amount ΔL are approximated to be proportional to the image shift amount ΔZ ″, so there is no problem in accuracy. te is the time from the end of lens driving to the start of exposure after the shutter curtain is opened, and includes the time for camera exposure calculation, aperture control, mirror up, and the like.
[0102]
By solving Equation (20) and Equation (21), Equation (22) for obtaining the predicted image shift amount is derived as follows.
[Expression 15]

[0103]
From this ΔZ ″, the lens driving amount ΔL is obtained by the equations (9) and (10), and the lens is driven, so that the moving subject can be brought into focus when exposed.
[0104]
Next, the time t2 at which the lens is brought into focus at the end of driving the lens is obtained by Expression (23).
t2 = t1 + td + ke · ΔZ ″ (23)
Similarly, the following equation (24) is derived by solving the equations (20) and (23).
[Expression 16]

[0105]
From this ΔZ ″, the lens driving amount ΔL is obtained by the equations (9) and (10), and the lens is driven, so that the moving subject can be brought into a focused state at the end of the lens driving. .
[0106]
Next, a specific operation program in this embodiment will be described with reference to the flowchart shown in FIG. It is assumed that the “AF detection” routine is repeatedly executed while the camera is powered on.
First, the integration operation of the area sensor 23 is executed, and when the integration is completed, subject image data (hereinafter referred to as sensor data) is read from the area sensor 23 (step S41).
[0107]
Next, it is determined whether or not a subject image shift amount (hereinafter referred to as an image shift amount) has been detected (step S42). If not detected in this determination (NO), the image shift amount is obtained by the above-described “image shift amount detection” routine (see FIG. 11) (step S43). Here, the image shift amount is detected for a predetermined distance measuring area set in advance on the area sensors 23a and 23b. However, the preset distance measurement area may be, for example, one distance measurement area selected by the photographer or the entire distance measurement area.
[0108]
Next, it is determined whether or not the image shift amount detection has been completed for all the predetermined distance measurement areas (step S44). If not completed yet (NO), the process returns to step S43, and the next The image shift amount in the distance measuring area is detected.
On the other hand, when the detection of the image shift amount in all the predetermined distance measurement areas is completed (YES), the distance measurement area is selected based on a predetermined algorithm, for example, the closest selection (step S45). Hereinafter, the selected distance measurement areas am and bm will be described.
[0109]
Next, it is determined whether or not the image shift amount is undetectable, that is, whether or not all the predetermined distance measurement areas are undetectable (step S46). In this determination, if detection is possible (YES), an image deviation amount detectable flag is set (step S47), and an image deviation amount detected flag is further set (step S48).
[0110]
On the other hand, if it is determined in step S46 that all cannot be detected (NO), the image displacement amount detection impossible flag is set (step S49), and the image displacement amount detection flag is cleared (step S50). Then, after setting or clearing the image deviation amount detected flag, the image movement amount detected flag is cleared (step S51), and the process returns to the main routine described later with reference to FIG.
If it is determined in step S42 that the image shift amount has already been detected (YES), the movement amount of the subject image with respect to time is detected for each of the first and second subject images as follows. First, the distance measuring area am selected in step S45 is set as an initial distance measuring area (step S52).
[0111]
Next, a correlation calculation is performed between the sensor data stored in the previous (time t0) image shift amount detection for the first subject image in the distance measurement area am and the current (time t1) sensor data, and the amount of movement is calculated. Is detected (step S53). This is based on the movement amount detection routine shown in FIG.
[0112]
Then, it is determined whether or not the movement amount of the first subject image has been detected (step S54). If the amount of movement cannot be detected in this determination (NO), the image shift amount between the first and second subject images is assumed to be 0, and all the distance measurement areas in the vicinity of the distance measurement area am It is determined whether or not a ranging area is set (step S55). If it is determined in this determination that shifting has not been completed for all nearby ranging areas (NO), the ranging area at this time (time t1) is shifted in a predetermined order and then shifted to the next ranging area. Set (step S56). Note that the predetermined order referred to here is, as shown in order in FIGS. 16A to 16E, in the vicinity of an as indicated by an arrow centered on the initial distance measurement area an on the area sensor 23a. This is to shift the ranging area in the horizontal and vertical directions. The reason why the processing is performed in this order is to cope with the movement of the subject image on the area sensor 23 in the horizontal direction and the vertical direction due to the vertical movement of the subject and the movement in the left-right direction. That is, the image movement of the subject is detected including the distance measuring area near an. Thereafter, the process returns to step S53, and the first subject image movement amount is detected again for the set new distance measuring area. In this way, the position of the first subject image is searched.
[0113]
However, if it is determined in the above step S55 that the setting has been completed in all the nearby ranging areas (YES), the process proceeds to step 59 described later.
In the determination of step S54, if the position of the first subject image can be detected and the movement amount from time t0 to t1 can be detected (YES), the first subject movement amount can be detected in the distance measurement area ak. A movement amount with respect to the second subject image is detected for the distance measuring area bk of the corresponding area sensor 23b (step S57). This refers to the “movement amount detection” routine of FIG. At this time, the distance measurement area at time t1 when the movement amount of the first subject image can be detected is set to ak.
[0114]
Here, when a shift of the distance measurement area occurs, a shift amount between distance measurement areas (for example, a pixel number converted value of the distance between the centers) is added to ΔXL and ΔXR as an image movement amount.
[0115]
When the movement amounts of both the first and second subject images can be detected in this way, the movement speed v in the optical axis direction of the subject image is calculated from the following equation (step S58).
[Expression 17]

[0116]
Then, it is determined whether or not all the movement speed calculations have been completed for the predetermined distance measurement area to be detected (step S59). If the calculation has not been completed (NO), the movement speed is detected for the distance measurement area an. Therefore, the distance measurement area an + 1 is set (step S60), and the process returns to step S53.
[0117]
In the determination of step S59, if all the movement speed calculations have been completed (YES), the calculated movement speed v is compared with a predetermined speed vth to determine whether or not the subject is moving in the optical axis direction. Is determined in all ranging areas (step S61), it is determined whether or not the subject is a still body (step S62), and if it can be determined that the subject is not a stationary body but is moving in the optical axis direction (NO) The subject moving flag is set (step S63). However, if it is determined that the object is a still body (YES), the subject moving flag is cleared (step S64), the process returns to step S43, and the image shift amount detection process is performed again.
[0118]
Then, after the subject moving flag is set, the image movement detected flag is set (step S65), and the distance measurement area to be focused upon when the moving subject is detected is selected (step S66).
[0119]
In the first embodiment described above, in the moving object determination step, since the moving object is already determined with an emphasis on the center, in step S66 it is determined that the object is a moving object, and a certain standard is set in the ranging area. Thus, for example, a distance measuring area for selecting a fast-moving subject is selected, and the process returns to the main routine.
[0120]
Next, a main routine of a camera to which the multipoint autofocus camera of the present invention is applied will be described with reference to the configuration shown in FIG. 4 and the flowchart shown in FIG. This main operation is a routine indicating a control procedure of a program activated by the control unit 30 and is executed when the operation of the control unit 30 is started.
[0121]
First, various correction data used in distance measurement and photometry processing stored in advance from the EEPROM 35 are read out and expanded in the RAM 33 (step S71).
Then, it is determined whether or not 1RSW is turned on (step S72). If it is not on (NO), it is determined whether or not a switch other than 1RSW and 2RSW is operated (step S73). If there is an operated switch (YES), processing corresponding to the switch is executed (step S74), and then the process returns to step S72.
[0122]
On the other hand, if 1RSW is on in step S72 (YES), it is determined whether or not the AF operation mode is “single AF” (step S75). If it is determined in this determination that the mode is the single AF mode (YES), once in-focus, the focus is locked and the lens is not driven, so it is next determined whether or not in-focus has been achieved (step S76). However, if it is not the single AF mode (NO), it is regarded as the continuous AF mode, and in order to repeat AF driving following the change of the subject even after focusing once, the above-mentioned will be described later. Control goes to step S77.
[0123]
If in-focus has been achieved in step S76 (YES), AF driving is not performed, and the process returns to step S72. However, when the subject is not in focus (NO) or in the continuous AF mode, it is determined whether or not metering has been completed (step S77). If not metered, the metering unit determines the exposure amount. 39 is operated to perform a photometric operation for measuring subject luminance (step S78).
[0124]
Next, the subroutine “AF detection” described above is executed (step S79). As a result of this AF operation, it is determined whether or not image shift detection is possible with reference to the detection impossible flag described above (step S80). If it is determined that the image shift can be detected (NO), it is determined whether the movement amount of the subject image has been detected (step S81). On the other hand, if the image shift cannot be detected (YES), a scan operation for searching for a lens position where AF detection is possible is performed while driving the focus lens 12a (step S82), and the process returns to step S72. When this scan is performed, all the flags are cleared and AF detection is performed again from the beginning.
[0125]
In step S81, when the movement amount of the subject image has been detected (YES), the image shift amount is predicted. First, it is determined whether or not 2RSW is turned on (step S83). If 2RSW is turned on (YES), an image shift amount at the start of exposure is predicted (step S84). On the other hand, if 2RSW is off (NO), since only the AF operation is performed, the amount of image shift at the end of lens driving is predicted (step S85), and the process proceeds to focus determination in step S87 described later.
[0126]
If the movement amount of the subject image has not been detected in step S81 (NO), it is determined whether or not the subject is moving (step S86). At this point, as described later, the image movement detection flag is cleared after the lens is driven (step S87), and the subject movement flag is cleared even if the image movement is not detected after the lens is driven in the continuous AF mode. Is set, the process returns to step S72 to detect again the movement of the subject image.
[0127]
On the other hand, if it is not moving (NO), the detected image shift amount or the predicted image shift amount is converted into a defocus amount, and it is determined whether or not the image is in the in-focus allowable range. (Step S87). If it is not determined that the subject is in focus in this determination, a necessary lens driving amount is obtained and the focus lens is driven (step S88). In the lens driving routine, after the lens driving, the image deviation detection flag, the image deviation detection impossible flag, and the image movement detection flag are cleared. This clearing process is to restart AF detection from the beginning because the subject image is considered to change greatly once the focus lens is driven. As described above, only the subject image moving flag is not cleared here. This is because the movement of the subject is continuously detected so that the focus is not determined by the first AF detection after the lens is driven in the continuous AF mode.
[0128]
In step S87, if it is determined that the subject is in focus (YES), the ON / OFF state of 2RSW is determined (step S89). If 2RSW is turned on (YES), the aperture and shutter are controlled based on the photometric value stored in the RAM 33 to perform the exposure operation (step S90). Then, the photographed film is wound up and fed to the position of the next frame (step S91), and a series of photographing operations is completed.
[0129]
As described above, in the first embodiment, since the position of the subject image is detected in both the image division direction and the direction perpendicular to the image division direction on the area sensor, the vertical movement and the horizontal direction are detected. Even for a moving subject with movement, the subject image position can be detected, predictive control can be performed, and accurate focusing can be achieved.
[0130]
Next, the moving body determination in step S61 shown in FIG. 15 will be described with reference to the flowchart shown in FIG.
[0131]
First, an initial ranging area is set (step S101). For example, the ranging area P1 is set. Next, a predetermined speed Vth is set for each distance measurement area (step S102). As will be described later with reference to FIG. 20, Vth is set larger in the peripheral distance measurement area than in the central distance measurement area.
[0132]
Then, it is determined whether or not the area is a distance measuring area in which it is determined in step S54 in FIG. In this determination, if the distance measurement area is detectable (YES), the subject moves by comparing Vth for each distance measurement area set in step S102 with the image moving speed calculated in step S58 in FIG. It is determined whether or not it is a moving object (step S104).
[0133]
If it is determined in this determination that it is greater than Vth (YES), it is determined that the subject is a moving object, and information indicating that the subject in the set ranging area is a moving object is stored in the RAM 33 (step S105). However, if it is determined that it is smaller than Vth (NO), it is determined that the subject is a still body, and information indicating that the subject in the set ranging area is a still body is stored in the RAM 33 (step S106).
[0134]
Then, it is determined whether or not the moving object determination for all the ranging areas has been completed (step S107). If this determination is completed (YES), the process returns. If not completed (NO), the next ranging area is set (step S108), and the process returns to step S102.
[0135]
Next, with reference to FIG. 20, the setting of the predetermined speed Vth value for each distance measurement area in step S102 of FIG. 19 will be described.
[0136]
The horizontal axis in FIG. 20 corresponds to the distance measurement area number described in FIG. 7, and the vertical axis is Vth.
[0137]
The distance measuring area P13 is a distance measuring area at the center of the shooting screen (a distance measuring area m indicated by oblique lines), and the distance measuring areas P7 to P9, P12, P14, and P17 to P19 are adjacent to the distance measuring area P13 (one area). The first distance measuring area group is a first distance measuring area group, and the distance measuring areas P1 to P5, P6, P10, P16, P20, and P21 to P25 are the second distance measuring area group around the two areas from the central distance measuring area. is there.
[0138]
FIG. 20 shows an example in which the first ranging area group is doubled and the second ranging area group is tripled Vth with respect to the central ranging area P13. With this setting, the moving subject existing in the second ranging area group is determined to be three times as moving as the central ranging area P13.
[0139]
As described above, according to the present embodiment, the closer the subject is to the center of the shooting screen, the easier it is to determine that the subject is a moving body, and the easier it is to focus on the moving subject at the center.
[0140]
Next, a second embodiment according to the multipoint autofocus camera of the present invention will be described.
[0141]
FIG. 21 is an example of the velocity distribution of all the ranging areas arranged on the photographing screen and the change of the velocity distribution. The ranging area of FIG. 7 having 25 ranging areas is shown in FIG. An example of speed distribution in the calculation of the moving speed in the optical axis direction in step S54 in FIG. In FIG. 21 (a), the distance measurement areas P1 to P5 and the distance measurement areas P21 to P25 measure the background, so the moving speed is zero, and the distance measurement areas P6, P7, P10, P11, P15. , P16 and P20 measure distances in the upper and lower areas of the train, so the moving speed is zero. There are trains in other distance measuring areas, and the moving speeds V1 to V3 are observed. Since the distance from the camera is short, the speed V3 of the distance measuring area capturing the top of the train is the maximum, and the moving speed V1 of the distance measuring area capturing the side of the train (tail) is the minimum.
[0142]
FIG. 21B is an example of the velocity distribution after the time t1 has elapsed from FIG. FIG. 21C is an example of the velocity distribution after the time t2 has further elapsed from FIG. However, t1 <t2.
[0143]
In such a speed distribution, since the train moves to the right from the center of the page, the distance measurement area where the speed is observed also moves to the right. In addition, since the train gradually approaches the camera, the moving speed gradually increases.
[0144]
Also, if the train is moving leftward from the center of the page, the speed distribution moves in the opposite direction.
[0145]
In this embodiment, when it is determined that the subject is a moving object in a plurality of distance measuring areas, the distance measuring area close to the center is selected with priority.
[0146]
That is, for example, in FIG. 21B, when it is determined that the subject is a moving object in both the distance measurement area at the movement speed V3 and the distance measurement area at the movement speed V4, the distance measurement area V3 near the center is selected. Select with priority.
[0147]
With reference to the flowchart shown in FIG. 22, the ranging area selection when the subject in step S66 shown in FIG. 15 in the second embodiment is a moving object will be described. Other routines of the second embodiment are the same as the other flowcharts of the first embodiment described above, and a description thereof is omitted here.
[0148]
In this embodiment, since the center is prioritized in the moving object ranging area selection, the moving object determination algorithm that prioritizes the center in step S61 of the first embodiment described above may or may not be adopted. Good. When not employed, the value of Vth shown in FIG. 20 is constant in all ranging areas.
[0149]
First, an initial ranging area is set (step S111). For example, the ranging area P1 is set. Next, a coefficient for weighting is set for each distance measurement area (step S112). Specifically, it is a coefficient assigned such that the central ranging area is more important than the surrounding ranging areas. For example, the central ranging area shown in FIG. The area group (around one area) is set to coefficient 2, and the second ranging area group (around two areas) is set to coefficient 1.
[0150]
Then, it is determined whether or not the area is a distance measurement area in which it is determined in step S54 in FIG. 15 that image movement can be detected (step S113). In this determination, if the distance measurement area is detectable (YES), the subject moves by comparing Vth for each distance measurement area set in step S112 and the image moving speed calculated in step S58 in FIG. It is determined whether or not it is a moving object (step S114).
[0151]
If the subject is a moving object in this determination (YES), the coefficient of the distance measurement area is multiplied by the moving speed, and the result is set to “A” (step S115). This “A” value is a value that is used to determine a distance measurement area to be selected because the larger the value is, the closer the object is to the center distance measurement area or the faster the object.
[0152]
Next, it is determined whether or not the obtained “A” value is the maximum within the distance measurement area in the shooting screen (step S116), and the distance measurement area with the maximum “A” value is selected as the distance measurement area. Set (step S117).
[0153]
Further, when the distance measurement area is determined to be undetectable in the determination in step S113 (NO), in the determination in step S114, the subject is not a moving object (NO), and in step S116. If it is determined that the “A” value is not the maximum within the distance measurement area in the shooting screen (NO), the process proceeds to step S118 described later.
[0154]
Then, it is determined whether or not the moving object determination for all ranging areas has been completed (step S118). If this determination is completed (YES), the process returns. If not completed (NO), the next distance measurement area is set (step S119), and the process returns to step S102.
[0155]
Next, a modification of the second embodiment will be described.
[0156]
It is possible to simply select the distance measuring area of the moving subject that exists near the center of the shooting screen. In such a case, in step S115 of FIG. 22, the distance measuring area closest to the center of the shooting screen is selected from the distance measuring areas determined as moving objects without considering the moving speed. That is, the center ranging area P13 is selected in FIGS. 21A and 21B, and the ranging area P18 is selected in FIG. However, in this case, there is a drawback that it is difficult to focus on a fast subject.
[0157]
As described above, according to the second embodiment, it is possible to preferentially select and focus on a subject that exists near the center of the shooting screen or a subject that has a fast moving speed.
[0158]
Next, a third embodiment of the multipoint autofocus camera according to the present invention will be described.
In the third embodiment, the moving object determination described in the first and second embodiments described above is a method of determining the moving speed of the subject by comparing it with a predetermined value. This is based on the moving object determination. That is, when there are a plurality of distance measuring points determined to be moving objects, the moving direction in the screen is also determined, and a subject moving from the periphery to the center is given priority over a subject moving from the center to the periphery.
[0159]
FIG. 23 shows an example of an athletic meet relay scene. It is assumed that reference numerals, ranging areas, and the like in this figure indicate the same parts as those in FIG. In this composition, the subject 70 is detected by the distance measurement frames P7, P2, P12, and runs from the left side of the screen toward the center of the screen. The parallel subject 71 is detected in the distance measurement frames P6 and P1 behind the subject 70 and runs from the left side of the screen toward the center of the screen. The subject 72 is detected in the distance measurement frames P9 and P4 in front of the subject 70, and runs from the center of the screen toward the right side of the screen.
[0160]
In the case of such a scene, there is a high probability that the subject 70 that is directed to the center of the screen and is located at the center is the main subject intended by the photographer. In addition, the probability that the subject will be off the screen during exposure is low, and the subject is more central, which is advantageous in terms of resolution.
[0161]
In the third embodiment, the moving direction of the subject within the screen (moving direction perpendicular to the optical axis) is determined in this way, and the subject 70 closer to the center than the subject 71 and the subject 72 is preferentially selected. To do. Therefore, using this selection method, in the example shown in FIG. 23, when three subjects are running in the reverse direction (from right to left on the page), the subject 72 is preferentially selected.
[0162]
Next, an AF detection routine in the third embodiment will be described with reference to a flowchart shown in FIG.
In this AF detection routine, the movement of the subject within the screen between step S57 (detection of the movement amount of the second subject image) and step S58 (detection of the movement amount in the optical axis direction) in the flowchart shown in FIG. This is a routine in which a routine for calculating a direction (step S67) is inserted.
[0163]
This step S67 is a routine for calculating the moving direction of the subject within the screen, which is obtained from the left and right image movement amounts ΔXL and ΔXR described in FIG. As can be seen from a comparison between FIG. 12A and FIG. 12B, in FIG. 12B, since the subject 66 has moved sideways, the image shift amount ΔZ does not change, but ΔXL and ΔXR are (a Bigger than). In FIG. 12A, since the object 66 is moving in the optical axis direction, ΔXL and ΔXR are substantially the same in absolute value except for the vector directions. That is, if the difference between the half value of the image shift amount change at the times t1 and t2 and the values of ΔXL and ΔXR are calculated, this is an amount indicating the movement of the subject in the horizontal direction.
[0164]
Next, with reference to a flowchart shown in FIG. 25, description will be given of distance measurement area selection when the subject is a moving object in the third embodiment.
[0165]
In this distance measurement area selection, step S120 (direction coefficient setting) and step S121 ("A" value taking the direction coefficient into account) are inserted in place of step S115 in the flowchart shown in FIG. In the process of the flowchart shown in FIG. 25, steps that are the same as those in FIG. 22 are assigned the same step numbers to simplify the description.
[0166]
First, an initial distance measurement area is set (step S111), and a coefficient for weighting is set for each distance measurement area (step S112). Then, it is determined whether or not the range of movement is determined to be detectable (step S113). If the range of detection is a detectable range (YES), it is determined whether or not the subject is a moving object. Determination is made (step S114). In this determination, if the subject in the setting area is a moving object (YES), the direction coefficient is set according to the moving direction (step S120). For example, a coefficient of 3 is set when the subject is moving from the periphery to the center, and a coefficient of 1 is set when the subject is moving from the center to the periphery. 23A, the subject 70 and the subject 71 have a coefficient of 3, and the subject 72 has a coefficient of 1.
[0167]
Thereafter, the area coefficient set in step S112, the direction coefficient set in step S120, and the calculated movement speed are multiplied, and the result is set to “A” (step S121). As the “A” value is larger as described above, the subject is closer to the center distance measurement area or is a faster subject, and is used to determine the distance measurement area to be selected. Value.
[0168]
Next, if this “A” value is the maximum within the distance measurement area in the shooting screen, the setting area is selected (steps S116 and S117). If the distance measurement area in which image movement cannot be detected in step S113, the subject is not a moving object in step S114, or the "A" value is not maximum in step S116, the moving object determination for all the distance measurement areas is completed. It is determined whether or not (step S118). If this determination is completed (YES), the process returns. If not completed (NO), the next distance measurement area is set (step S119), and the process returns to step S112.
[0169]
By such a ranging area selection routine, it is possible to select a ranging area that places importance on the subject moving from the periphery to the center while placing importance on the center of the screen.
[0170]
As described above, according to the third embodiment, the moving direction of the subject in the screen (the moving direction in the direction perpendicular to the optical axis) is determined, and the subject moving from the periphery to the center is directed from the center to the periphery. Since the selection is prioritized over the subject, the effect is that the probability of being located in the center during exposure is high (ranging accuracy is good), the probability that the subject will be off the screen during exposure is low, and the main subject Certain probabilities also increase.
[0171]
Next, with reference to the flowchart shown in FIG. 26, a modified example of the distance measurement area selection when the subject is a moving object in the third embodiment will be described. In this modification, the subject moving toward the center is set as an area for selecting a subject existing at a distance measuring point closest to the center.
[0172]
First, an initial distance measurement area is set (step S111), it is determined whether it is a distance measurement area in which image movement is determined to be detectable (step S113), and if it is a detectable distance measurement area (YES), It is determined whether or not the subject is a moving object (step S114). In this determination, if the subject in the setting area is a moving object (YES), it is determined whether or not the subject is moving toward the center of the screen (step S122), and the subject is moving toward the center. In the case (YES), it is determined whether or not the subject exists at a distance measuring point closest to the center (step S123). On the other hand, if the subject does not move toward the center but moves toward the other periphery (NO), it is considered that the selected area does not exist and is set as the second candidate (step S124).
[0173]
If it is determined in step S123 that the subject is present at the closest distance measuring point (YES), this setting area is selected (step S117). However, if the subject does not exist at the closest distance measuring point (NO), the process proceeds to step S124 and is set as the second candidate. Thereafter, it is determined whether or not the moving object determination for all ranging areas has been completed (step S118). If this determination is completed (YES), the process returns. If not completed (NO), the next distance measurement area is set (step S119), and the process returns to step S112.
[0174]
According to this modification, in the composition of FIG. 23A, when the subject 70 and the subject 71 do not exist, the subject 72 is selected, and when only the subject 70 does not exist, the subject 71 is centered. Select this because you are heading. Therefore, unlike the distance measurement area selection in FIG. 25, the weight is not weighted at the moving speed, and the final selection area is simply set according to the moving direction and the existing area.
[0175]
Incidentally, Japanese Patent Application Laid-Open No. 11-44837 filed by the present applicant discloses a method for determining a moving object from the reliability of correlation calculation between sensor data at t = t0 and sensor data at t = t1 in FIG. Yes.
Although an example using an area sensor has been described, a plurality of line sensors may be used. Although the example in which the focus detection areas of all the distance measurement areas are used in the shooting screen 15 has been described, the areas may be thinned out (for example, the peripheral areas are omitted) from the viewpoint of reducing the time lag.
[0176]
Alternatively, a plurality of ranging areas may be divided into one group. In that case, only the method of dividing the ranging area shown in FIG. 7 is different.
The moving speed detection method may be a method other than that described in the present embodiment.
For example, the temporal change of the image shift amount detected in S43 may be calculated. Further, the moving object may be directly determined from the magnitude of the image moving amount without calculating the moving object by calculating the moving speed.
[0177]
Although the above embodiments have been described, the present invention includes the following inventions.
[0178]
(1) In a multipoint autofocus camera having a plurality of focus detection areas on a shooting screen,
An image speed change amount detecting means for detecting a change amount of the speed distribution of the subject image in each focus detection area;
A moving object determining unit that determines whether or not the subject is moving based on the output of the image speed change amount detecting unit;
When the moving object determining means determines that the subject is a moving object in a plurality of distance measuring areas, the moving object determining means includes selecting means for preferentially selecting the distance measuring area close to the center as the in-focus distance measuring area. And
A multi-point autofocus camera characterized by focusing on a focus detection area where a subject close to the center of the shooting screen is present among subjects determined to be moving objects.
[0179]
(2) For each of the focus detection areas arranged on the shooting screen, a coefficient for performing moving object determination is set to a smaller value for the focus detection area closer to the center of the shooting screen, so that the distance measurement area is selected. The multipoint autofocus camera described in (1) above, wherein priority is given to a focus detection area close to the center of the photographing screen.
[0180]
(3) When a plurality of subjects determined in the shooting screen by the moving object determining means are determined to be moving objects, a focus detection area where a subject close to the center of the shooting screen exists is selected. The multipoint autofocus camera according to (1) above.
[0181]
【The invention's effect】
As described above in detail, according to the present invention, when a plurality of distance measurement areas (focus detection areas) are arranged in a shooting screen and focused on a moving subject, moving object determination at the center of the screen with high distance measurement accuracy is performed. It is possible to provide a multi-point autofocus camera having a focus detection function for performing moving object determination by measuring the entire screen while focusing on the image, and focusing the photographing lens based on the determination result. If a subject moving from the periphery of the screen toward the center is detected, the subject is selected as a distance measuring area with priority, so that the probability of the subject being nearer to the center at the time of exposure increases. In addition, it is possible to reduce the probability that the subject will be off the screen during exposure.
[Brief description of the drawings]
FIG. 1 is a diagram showing a conceptual block configuration of a focus detection function of a multipoint autofocus camera of the present invention.
FIG. 2 is a diagram showing a cross section of a configuration example applied to a single-lens reflex camera as a multipoint autofocus camera according to the present invention.
FIG. 3 is a diagram schematically showing an optical system including distance measurement.
FIG. 4 is a diagram illustrating functional blocks including an electric control system of the camera described in FIG.
5 is a diagram showing a specific circuit configuration of the area sensor shown in FIG. 4. FIG.
FIG. 6 is a diagram illustrating a specific circuit configuration of a pixel unit of an area sensor.
FIG. 7 is a diagram showing an example of the arrangement of distance measurement areas that constitute a detection area in a shooting screen.
FIG. 8 is a time chart for explaining the accumulation operation of the area sensor.
FIG. 9 is a diagram illustrating an example of arrangement of distance measurement areas constituting two area sensors.
FIG. 10 is a diagram showing a linear arrangement of photodiodes corresponding to areas.
FIG. 11 is a flowchart for explaining based on a processing procedure related to an image shift amount detection routine;
FIG. 12 is a diagram for explaining the principle of focus detection for a moving subject.
FIG. 13 is a diagram for explaining movement of a subject image.
FIG. 14 is a flowchart for explaining a movement amount detection routine;
FIG. 15 is a flowchart for explaining an AF detection routine;
FIG. 16 is a diagram for explaining a shift for detecting a subject image movement amount in the first embodiment;
FIG. 17 is a diagram illustrating, as an example, a scene in which a train approaches a curve as a composition of a captured image.
FIG. 18 is a flowchart for explaining a main routine of a camera to which the multipoint autofocus camera of the present invention is applied.
FIG. 19 is a flowchart for explaining moving object determination;
FIG. 20 is a flowchart for explaining setting of a predetermined speed Vth value for each distance measurement area in the second embodiment of the multipoint autofocus camera of the present invention.
FIG. 21 is a diagram showing a speed distribution of all the ranging areas arranged on the shooting screen and a change in the speed distribution in the second embodiment.
FIG. 22 is a flowchart for explaining distance measurement area selection when the subject is a moving object;
FIG. 23 is a diagram for explaining a third embodiment of the multipoint autofocus camera according to the present invention.
FIG. 24 is a flowchart for explaining an AF detection routine in the third embodiment;
FIG. 25 is a flowchart for explaining ranging area selection when a subject is a moving object in the third embodiment;
FIG. 26 is a flowchart for explaining a modification of the third embodiment;
[Explanation of symbols]
1 Focus detection unit (area sensor)
2. Focus calculation unit
3. Image movement amount calculation unit
4 ... Ranging area selection section
5. Focus control unit
6. Focus adjustment unit

Claims (3)

In a multi-point autofocus camera with multiple focus detection areas,
Image movement calculation means for calculating an amount related to movement of the subject image within each focus detection area;
Moving object determination means for determining whether or not the subject is moving based on the output of the image movement calculation means;
A moving direction calculating means for calculating a moving direction of the subject in the screen based on the output of the image movement calculating means;
When there are a plurality of focus detection areas determined to be moving objects by the moving object determination means, the focus detection area indicating that the movement direction calculated by the movement direction calculation means is from the periphery to the center of the screen is given priority. A selection means to select;
A multipoint autofocus camera characterized by comprising: The selection means calculates an evaluation value for selecting a focus detection area when the movement direction output from the movement direction calculation means indicates that the movement direction is moving from the periphery of the screen toward the center. When the weighting is increased for the coefficient, and when it indicates that the coefficient is moving from the center toward the periphery, the weighting is decreased for the coefficient, and an evaluation value that is multiplied by the coefficient is calculated. The multipoint autofocus camera according to claim 1, wherein a focus detection area having the largest evaluation value is selected from among the focus detection areas. The selection means selects a focus detection area closest to the center of the screen among focus detection areas indicating that the movement direction output by the movement direction calculation means is moving from the periphery of the screen toward the center. The multipoint autofocus camera according to claim 1.

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