OBJECT RECOGNITION APPARATUS AND OBJECT RECOGNITION METHOD

• US 20100284568A1
• Filed: 05/05/2010
• Published: 11/11/2010
• Est. Priority Date: 05/11/2009
• Status: Active Grant

• Current Assignee: Canon Kabushiki Kaisha (Canon Inc.)
• Original Assignee: Canon Kabushiki Kaisha (Canon Inc.)
• Inventors: Tojo, Hiroshi
• Granted Patent: US 8,861,784 B2
• Time in Patent Office: Days
• US Class Current: 382/103
• CPC Class Codes: G06V 40/166 using acquisition arrangements
• CPC Class Codes: G06V 40/167 using comparisons between temporally consecutive images

Abstract

An object recognition apparatus recognizes an object from video data for a predetermined time period generated by a camera, analyzes the recognition result, and determines a minimum size and moving speed of faces of the video image recognized from the received frame image. Then, the object recognition apparatus determines a lower limit value of a frame rate and resolution from the determined minimum size and moving speed of the faces.

Claims

1. An object recognition apparatus comprising:

an imaging unit configured to image a subject to generate video data;

an object recognition unit configured to recognize an object from the video data generated by the imaging unit; and

a determination unit configured to determine a control parameter of the imaging unit, based on a recognition result by the object recognition unit.

2. The object recognition apparatus according to claim 1, wherein the object recognition unit recognizes the object from the video data for a predetermined time period generated by the imaging unit, and

wherein the determination unit determines the control parameter of the imaging unit, based on the recognition result of video data for the predetermined time by the object recognition unit.

3. The object recognition apparatus according to claim 1, further comprising a recognition result analysis unit configured to calculate a moving speed of the object recognized by the object recognition unit,

wherein the determination unit determines a frame rate of the video data to be generated by the imaging unit as the control parameter, based on the moving speed calculated by the recognition result analysis unit.

4. The object recognition apparatus according to claim. 3, wherein the determination unit determines a lower limit value of the frame rate, based on a positional displacement of the recognition result between frames caused by the moving speed calculated by the recognition result analysis unit.

5. The object recognition apparatus according to claim. 1, further comprising a recognition result analysis unit configured to calculate a size of an object in the video image, from the recognition result by the object recognition unit,

wherein the determination unit determines a resolution of the video data to be generated by the imaging unit as the control parameter, based on the size of the object calculated by the recognition result analysis unit.

6. The object recognition apparatus according to claim. 5, wherein the determination unit determines a lower limit value of the resolutions, based on a minimum size of the object calculated by the recognition result analysis unit.

7. The object recognition apparatus according to claim. 1, further comprising a designating unit configured to designate a recognition target region in the video data,

wherein the determination unit determines the control parameter based on the object recognition result in the recognition target region designated by the designating unit.

8. The object recognition apparatus according to claim. 1, further comprising a setting unit configured to set a highest value available as an initial value of the control parameter.

9. An object recognition method comprising:

imaging a subject to generate video data;

recognizing an object from the generated video data; and

determining a control parameter in the imaging operation based on a result of the recognition.

10. A computer-readable storage medium storing a program that causes a computer to execute an object recognition method, the method comprising:

imaging a subject to generate video data;

recognizing an object from the generated video data; and

determining a control parameter to be used for the imaging, based on the recognition result.