JP2010166212A5 - - Google Patents
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- JP2010166212A5 JP2010166212A5 JP2009005646A JP2009005646A JP2010166212A5 JP 2010166212 A5 JP2010166212 A5 JP 2010166212A5 JP 2009005646 A JP2009005646 A JP 2009005646A JP 2009005646 A JP2009005646 A JP 2009005646A JP 2010166212 A5 JP2010166212 A5 JP 2010166212A5
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上記目的を達成するために、本発明の動画像処理装置は、動画像データを構成する複数の画像フレームデータから人物の顔を検出する顔検出部と、検出された顔の表情が特定の表情にどれだけ近いかの度合いを示す表情評価値を算出する表情評価部と、該表情評価部により高い表情評価値が算出された際に静止画像データを取得する処理を実行する制御部とを備える動画像処理装置において、現在処理中の画像フレームデータに対する表情評価値と前記現在処理中の画像フレームデータよりも前の時点における画像フレームデータに対する表情評価値の差分値を算出し、算出された差分値が所定の基準値より小さいか否かを判定する評価差分値判定部を備え、前記制御部は、前記評価差分値判定部が算出された差分値が所定の基準値より小さいと判定した場合に静止画像データを取得する処理を実行することを特徴とする。 In order to achieve the above object, a moving image processing apparatus according to the present invention includes a face detection unit that detects a human face from a plurality of image frame data constituting moving image data, and a facial expression in which the detected facial expression is a specific expression. A facial expression evaluation unit for calculating a facial expression evaluation value indicating the degree of proximity to the facial expression evaluation unit, and a control unit for executing processing for obtaining still image data when a high facial expression evaluation value is calculated by the facial expression evaluation unit In the moving image processing apparatus, the difference between the expression evaluation value for the image frame data currently being processed and the expression evaluation value for the image frame data at a time point earlier than the image frame data being currently processed is calculated, and the calculated difference value with the evaluation difference value determination unit that determines whether the difference is less than a predetermined reference value, the control unit, the difference value which the evaluation difference value determination unit is calculated smaller than a predetermined reference value And executes the process of acquiring the still image data when it is determined that.
上記目的を達成するために、本発明の動画像処理方法は、動画像データを構成する複数の画像フレームデータから人物の顔を検出する顔検出ステップと、検出された顔の表情が特定の表情にどれだけ近いかの度合いを示す表情評価値を算出する表情評価ステップと、該表情評価ステップにより高い表情評価値が算出された際に静止画像データを取得する処理を実行する制御ステップとを備える動画像処理方法において、現在処理中の画像フレームデータに対する表情評価値と前記現在処理中の画像フレームデータよりも前の時点における画像フレームデータに対する表情評価値の差分値を算出する算出ステップと、算出された差分値が所定の基準値より小さいか否かを判定する評価差分値判定ステップとを備え、前記制御ステップでは、前記評価差分値判定ステップで算出された差分値が所定の基準値より小さいと判定された場合に静止画像データを取得する処理を実行することを特徴とする。 In order to achieve the above object, a moving image processing method of the present invention includes a face detection step of detecting a human face from a plurality of image frame data constituting moving image data, and the detected facial expression is a specific expression. A facial expression evaluation step for calculating a facial expression evaluation value indicating the degree of proximity to the facial expression evaluation step, and a control step for executing a process for acquiring still image data when a high facial expression evaluation value is calculated by the facial expression evaluation step In the moving image processing method, a calculation step for calculating a difference value between the expression evaluation value for the image frame data being currently processed and the expression evaluation value for the image frame data at a time point before the image frame data being currently processed; difference value is a determining evaluation difference value determination step of determining whether or not smaller than the predetermined reference value, in the control step, the And executes the processing of the difference value calculated by the price difference value determining step obtains the still image data when it is determined that the predetermined reference value smaller.
上記目的を達成するために、本発明のプログラムは、動画像データを構成する複数の画像フレームデータから人物の顔を検出する顔検出ステップと、検出された顔の表情が特定の表情にどれだけ近いかの度合いを示す表情評価値を算出する表情評価ステップと、該表情評価ステップにより高い表情評価値が算出された際に静止画像データを取得する処理を実行する制御ステップとを備える動画像処理方法をコンピュータに実行させるプログラムにおいて、現在処理中の画像フレームデータに対する表情評価値と前記現在処理中の画像フレームデータよりも前の時点における画像フレームデータに対する表情評価値の差分値を算出する算出ステップと、算出された差分値が所定の基準値より小さいか否かを判定する評価差分値判定ステップとを備え、前記制御ステップでは、前記評価差分値判定ステップで算出された差分値が所定の基準値より小さいと判定された場合に静止画像データを取得する処理を実行することを特徴とする。 To achieve the above object, the program of the present invention includes a face detection step for detecting a human face from a plurality of image frame data constituting moving image data, and how much the detected facial expression is a specific facial expression. A moving image processing comprising a facial expression evaluation step for calculating a facial expression evaluation value indicating a degree of closeness, and a control step for executing processing for acquiring still image data when a high facial expression evaluation value is calculated by the facial expression evaluation step In a program for causing a computer to execute the method, a calculation step of calculating a difference value between a facial expression evaluation value for the currently processed image frame data and a facial expression evaluation value for the image frame data at a time point before the currently processed image frame data When the calculated difference value is a determining evaluation difference value determination step of determining whether or not smaller than a predetermined reference value For example, in the control step, and executes a process of the evaluation difference value determination difference value calculated in the step to obtain the still image data when it is determined that the predetermined reference value smaller.
Claims (13)
現在処理中の画像フレームデータに対する表情評価値と前記現在処理中の画像フレームデータよりも前の時点における画像フレームデータに対する表情評価値の差分値を算出し、算出された差分値が所定の基準値より小さいか否かを判定する評価差分値判定部を備え、前記制御部は、前記評価差分値判定部が算出された差分値が所定の基準値より小さいと判定した場合に静止画像データを取得する処理を実行することを特徴とする動画像処理装置。 A face detection unit that detects a human face from a plurality of image frame data constituting moving image data, and a facial expression evaluation that calculates a degree of expression evaluation indicating how close the detected facial expression is to a specific facial expression A moving image processing apparatus comprising: a control unit that executes a process of acquiring still image data when a high facial expression evaluation value is calculated by the facial expression evaluation unit;
A difference value between the expression evaluation value for the currently processed image frame data and the expression evaluation value for the image frame data at a time point earlier than the currently processed image frame data is calculated, and the calculated difference value is a predetermined reference value An evaluation difference value determination unit that determines whether or not the difference is smaller , and the control unit acquires still image data when the evaluation difference value determination unit determines that the calculated difference value is smaller than a predetermined reference value A moving image processing apparatus characterized in that the processing is performed.
現在処理中の画像フレームデータに対する表情評価値と前記現在処理中の画像フレームデータよりも前の時点における画像フレームデータに対する表情評価値の差分値を算出する算出ステップと、算出された差分値が所定の基準値より小さいか否かを判定する評価差分値判定ステップとを備え、前記制御ステップでは、前記評価差分値判定ステップで算出された差分値が所定の基準値より小さいと判定された場合に静止画像データを取得する処理を実行することを特徴とする動画像処理方法。 Face detection step for detecting a human face from a plurality of image frame data constituting moving image data, and facial expression evaluation for calculating a facial expression evaluation value indicating how close the detected facial expression is to a specific facial expression In a moving image processing method comprising: a step; and a control step of executing processing for acquiring still image data when a high facial expression evaluation value is calculated by the facial expression evaluation step ,
A calculation step for calculating a difference value between the expression evaluation value for the image frame data being currently processed and the expression evaluation value for the image frame data at a time point before the image frame data being currently processed; and the calculated difference value is predetermined. of a determining evaluation difference value determination step of determining whether or not the reference value is smaller than, and in the control step, when the difference value calculated by the evaluation difference value determination step determines a predetermined reference value smaller than A moving image processing method characterized by executing processing for acquiring still image data.
現在処理中の画像フレームデータに対する表情評価値と前記現在処理中の画像フレームデータよりも前の時点における画像フレームデータに対する表情評価値の差分値を算出する算出ステップと、算出された差分値が所定の基準値より小さいか否かを判定する評価差分値判定ステップとを備え、前記制御ステップでは、前記評価差分値判定ステップで算出された差分値が所定の基準値より小さいと判定された場合に静止画像データを取得する処理を実行することを特徴とするプログラム。 Face detection step for detecting a human face from a plurality of image frame data constituting moving image data, and facial expression evaluation for calculating a facial expression evaluation value indicating how close the detected facial expression is to a specific facial expression In a program for causing a computer to execute a moving image processing method comprising: a step; and a control step of executing a process of acquiring still image data when a high facial expression evaluation value is calculated in the facial expression evaluation step ,
A calculation step for calculating a difference value between the expression evaluation value for the image frame data being currently processed and the expression evaluation value for the image frame data at a time point before the image frame data being currently processed; and the calculated difference value is predetermined. of a determining evaluation difference value determination step of determining whether or not the reference value is smaller than, and in the control step, when the difference value calculated by the evaluation difference value determination step determines a predetermined reference value smaller than A program for executing processing for acquiring still image data.
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JP2009005646A JP5173858B2 (en) | 2009-01-14 | 2009-01-14 | Moving image processing apparatus, moving image processing method, program, and storage medium |
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JP2009005646A JP5173858B2 (en) | 2009-01-14 | 2009-01-14 | Moving image processing apparatus, moving image processing method, program, and storage medium |
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JP2010166212A JP2010166212A (en) | 2010-07-29 |
JP2010166212A5 true JP2010166212A5 (en) | 2012-03-01 |
JP5173858B2 JP5173858B2 (en) | 2013-04-03 |
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TWI556194B (en) | 2012-06-29 | 2016-11-01 | 希科母股份有限公司 | Object detection device, object detection method and computer program for object detection |
CN114945102A (en) * | 2020-07-14 | 2022-08-26 | 海信视像科技股份有限公司 | Display device and person identification display method |
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JP4240108B2 (en) * | 2006-10-31 | 2009-03-18 | ソニー株式会社 | Image storage device, imaging device, image storage method, and program |
JP4898475B2 (en) * | 2007-02-05 | 2012-03-14 | 富士フイルム株式会社 | Imaging control apparatus, imaging apparatus, and imaging control method |
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