OBJECT DETECTION APPARATUS AND CONTROL METHOD THEREOF, AND STORAGE MEDIUM

• US 20140056473A1
• Filed: 08/09/2013
• Published: 02/27/2014
• Est. Priority Date: 08/22/2012
• Status: Active Grant

• Current Assignee: Canon Kabushiki Kaisha (Canon Inc.)
• Original Assignee: Canon Kabushiki Kaisha (Canon Inc.)
• Inventors: Tojo, Hiroshi
• Granted Patent: US 9,202,126 B2
• Time in Patent Office: Days
• US Class Current: 382/103
• CPC Class Codes: G06T 2207/10016 Video; Image sequence
• CPC Class Codes: G06T 2207/10024 Color image
• CPC Class Codes: G06T 7/194 involving foreground-background segmentation
• CPC Class Codes: G06T 7/73 using feature-based methods
• CPC Class Codes: G06V 10/255 Detecting or recognising potential candidate objects based on visual cues, e.g. shapes

Abstract

The object detection apparatus prevents or eliminates detection errors caused by changes of an object which frequently appears in a background. To this end, an object detection apparatus includes a detection unit which detects an object region by comparing an input video from a video input device and a background model, a selection unit which selects a region of a background object originally included in a video, a generation unit which generates background object feature information based on features included in the background object region, and a determination unit which determines whether or not the object region detected from the input video is a background object using the background object feature information.

Claims

1. An object detection apparatus comprising:

a video input unit configured to input a video;

an object region detection unit configured to detect an object region by comparing the input video and a background model;

a selection unit configured to select a region of a background object originally included in a video;

a generation unit configured to generate background object feature information based on features included in the background object region; and

a determination unit configured to determine whether or not the object region detected from the input video is a background object using the background object feature information.

2. The apparatus according to claim 1, wherein the background object feature information is a statistical amount based on feature amounts extracted from the background object region.

3. The apparatus according to claim 2, wherein the feature amounts are feature amounts according to a scene to be applied.

4. The apparatus according to claim 1, wherein said selection unit selects the background object region based on a background object region selection rule corresponding to a scene to be applied.

5. The apparatus according to claim 4, wherein the background object region selection rule is based on duration since the object region appears in a video.

6. The apparatus according to claim 4, further comprising a moving object detecting unit configured to detect a moving object,

wherein the background object region selection rule is used to select, as the background object region, a region obtained by excluding a moving object region detected by said moving object detecting unit from the object region.

7. The apparatus according to claim 4, further comprising a translation/rotation determination unit configured to determine whether the object region is detected as a result of parallel translation of an object or is detected as a result of out-of-plane rotation of the object,

wherein the background object region selection rule is used to select, when said translation/rotation determination unit determines that the object region is detected as a result of parallel translation, as the background object region a region obtained by excluding a partial background region which appears as a result of parallel translation.

8. The apparatus according to claim 1, wherein said determination unit includes a unit configured to update the background model based on the determination result.

9. A control method of controlling an object detection apparatus which comprises a video input unit configured to input a video, and detects an object in the video, comprising:

an object region detection step of detecting an object region by comparing an input video from the video input unit and a background model;

a selection step of selecting a region of a background object originally included in a video;

a generation step of controlling a generation unit to generate background object feature information based on features included in the background object region; and

a determination step of determining whether or not the object region detected from the input video is a background object using the background object feature information.

10. A non-transitory computer-readable storage medium storing a program for controlling a computer, which includes a video input unit configured to input a video, to execute respective steps of a method according to claim 9 when the computer loads and executes the program.