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Method for detecting a moving object in a temporal sequence of images of a video

A moving object, time series technique used in computer vision and pattern recognition

Active Publication Date: 2005-11-16
MITSUBISHI ELECTRIC CORP
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Problems solved by technology

However, with a false positive rate of 2 per image, the published detection rate is about 75%

Method used

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  • Method for detecting a moving object in a temporal sequence of images of a video
  • Method for detecting a moving object in a temporal sequence of images of a video
  • Method for detecting a moving object in a temporal sequence of images of a video

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Embodiment Construction

[0028] figure 1 A method 100 is shown for detecting moving objects 105 (eg pedestrians) in a temporally ordered sequence of images 101 (ie a video). The selected images 111 are derived from the input video 101 , such as adjacent pairs, overlapping pairs, every other image, etc. The function 102 is applied 120 to the selected images 111 to generate a combined image set 121 . Split the combined image into detection windows or "chunks" of different sizes, eg, 4 windows (each 1 / 4 of the image) for the entire image, etc. The filter 200 is scanned and evaluated through the detection windows of the combined set of images to determine 130 some features 131 which are summed 140 into a cumulative score C 141 . The cumulative score is classified 150 to determine whether a particular detection window actually contains a particular type of moving object, such as a pedestrian 105 . This process is repeated 151 for all detection windows of all combined images and then repeated 152 for all...

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Abstract

A method detects a moving object in a temporal sequence of images. Images are selected from the temporally ordered sequence of images. A set of functions is applied to the selected images to generate a set of combined images. A linear combination of filters is applied to a detection window in the set of combined images to determine motion and appearance features of the detection window. The motion and appearance features are summed to determine a cumulative score, which enables a classification of the detection window as including the moving object.

Description

technical field [0001] The present invention relates generally to computer vision and pattern recognition, and more particularly to detecting moving objects such as pedestrians in video. Background technique [0002] To detect and recognize objects in images, pattern recognition methods have achieved significant success in computer vision, examples include face, vehicle, and pedestrian detection, see e.g.: Avidan, "Support vector tracking," IEEE Conference on Computer Vision and Pattern Recognition, 2001; Papageorgiou et al., "A general framework for object detection," International Conference on Computer Vision, 1998; Rowley et al., "Neural network-based face detection," IEEE Patt.Anal.Mach.Intell., Volume 20, pages 22-38, 1998; Schneiderman et al., "A statistical method for 3D object detection applied to faces and cars," International Conference on Computer Vision, 2000; and Viola et al. "Rapid object detection using boosted cascade of simple features,” IEEE Conference on...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/20G06V10/774
CPCG06K9/00369G06K9/4614G06T7/2033G06T7/246G06V40/103G06V10/446G06V10/7515G06V10/774G06F18/214
Inventor 保罗·A·维奥拉迈克·J·琼斯
Owner MITSUBISHI ELECTRIC CORP
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