JP2010183291A5 - - Google Patents

Claims (9)

A tracking device that tracks faces appearing in successive images,
A face detector that sequentially processes the successive images to detect a plurality of faces in the images;
A face area setting unit that sets a face area including each face detected by the face detection unit for each face;
Based on the face detection result by the face detection unit, a difficulty level evaluation unit that evaluates the detection difficulty level of each face detected by the face detection unit ,
Based on the evaluation result by the difficulty level evaluation unit , a predetermined number of the face regions are selected from the face regions including the faces set by the face region setting unit in descending order of difficulty of detection of the faces. A face area selection unit to be
A motion detection target setting unit for setting as a target area for the motion detection for the Kikao region before selected by the facial region selecting section,
Between adjacent images, a motion detector to detect motion of the target region set by said motion detection target setting unit,
A tracking device comprising: The face detection unit outputs at least one of a face size, a face position, a face orientation, and a face tilt as the face detection result;
The difficulty evaluation unit, on the basis of the face detection unit and the face detection result of each face detected by at least the face of the size, position of the face, the face orientation, the inclination of the face, the direction change of the face, The tracking device according to claim 1 , wherein the degree of difficulty in detecting each face is evaluated using one or more of a change in face inclination, a face moving speed, and a face moving direction as evaluation parameters. The difficulty evaluation section, each face of the detected estimates the possibility of overlap with the other face, claim the estimation results and evaluating the detected difficulty of each face as the evaluation parameter 2 The tracking device described in 1. The difficulty level evaluation unit determines a moving speed and / or moving direction of the face from the face detection result of each face, and estimates the possibility that each face overlaps with another face based on the determination result. The tracking device according to claim 3 . The difficulty level evaluation unit weights the evaluation parameter using a weighting factor set in advance for each evaluation parameter , and evaluates the detection difficulty level of each face based on the weighted evaluation parameter. The tracking device according to claim 1 . A face region determining unit that determines a face region in the image based on a face region including each face detected by the face detecting unit and a motion of the target region detected by the motion detecting unit; The tracking device according to claim 1 . A display processing unit for switching the continuous images and performing display processing on the display unit;
The display processing unit in accordance with the face area in said image which is determined by the face area determination unit, a tracking device according to claim 6, characterized in that to display a face frame indicating a face in the image. An imaging unit that sequentially images the subject for each frame and sequentially generates the continuous images;
A shooting instruction section for giving shooting instructions;
An imaging condition setting unit that sets an imaging condition of the imaging unit using the latest face detection result detected by the face detection unit for the face of the face region in the image determined by the face region determination unit ;
The tracking device according to claim 6 , further comprising: A tracking method for tracking a face that appears in successive images,
A face detection step of sequentially processing the continuous images to detect a plurality of faces in the images;
A face area setting step for setting a face area including each face detected in the face detection step for each face;
Based on the face detection result in the face detection step, a difficulty level evaluation step for evaluating the detection difficulty level of each face detected in the face detection step ;
Based on the evaluation result of the difficulty level evaluation step , a predetermined number of the face regions are selected from the face regions including the faces set in the face region setting step in descending order of difficulty of detection of the faces. The face area selection to be fixed,
A motion detection target setting step of setting as the target area for the motion detection for the Kikao region before selected by the facial region selection step,
Between adjacent images, a motion detection step of detecting a motion of the target region set by said motion detection target setting step,
The tracking method characterized by including.