Method for utilizing multiple detectors to conduct pedestrian detection on video images of scene change

A video image and scene change technology, applied in the field of computer vision and pattern recognition, can solve the problem of unsatisfactory pedestrian recognition rate, achieve the effect of improving pedestrian recognition rate and reducing labor cost

Active Publication Date: 2015-05-13
珠海中科先进科技产业有限公司
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Problems solved by technology

[0007] An exemplary embodiment of the present invention is to provide a method for detecting pedestrians in a scene-changing video image using mu

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  • Method for utilizing multiple detectors to conduct pedestrian detection on video images of scene change
  • Method for utilizing multiple detectors to conduct pedestrian detection on video images of scene change
  • Method for utilizing multiple detectors to conduct pedestrian detection on video images of scene change

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Embodiment Construction

[0022] Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like numerals refer to like parts throughout. The embodiments are described below in order to explain the present invention by referring to the figures.

[0023] figure 1 A flow chart showing a method for detecting pedestrians in video images of scene changes by using multiple detectors according to an exemplary embodiment of the present invention. Here, as an example, the method may be implemented by related video monitoring equipment, or may be entirely implemented by a computer program.

[0024] like figure 1 As shown, in step S100, for a plurality of different scenes, the scene background model of each scene is respectively obtained, and the pedestrian detector of each scene is trained respectively.

[0025] Specifically, the video images taken by the monitoring equipment in different scenes can be obtained in advan...

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Abstract

A method for utilizing multiple detectors to conduct pedestrian detection on video images of scene change comprises the steps of (A) respectively obtaining scene background model of each scene of multiple scenes and respectively training a pedestrian detector of each scene; (B) establishing corresponding relation sets of scene background models and pedestrian detectors; (C) obtaining the video images of scene change and dividing the video images into multiple video clips; (D) obtaining clip background model of each video clip in the multiple video clips and using the pedestrian detectors determined scene based on the background models of the video clips to detect pedestrians in each video clip. By means of the method, pedestrian recognition rate during scene change can be effectively improved, and labor cost is reduced.

Description

technical field [0001] The present invention generally relates to the technical fields of computer vision and pattern recognition. More specifically, it relates to a method for pedestrian detection in scene-changing video images using multiple detectors. Background technique [0002] Pedestrian detection is an important research direction in the field of intelligent video surveillance. It is a computer vision technology based on machine learning. and other tasks. [0003] Pedestrians have the characteristics of both rigid and flexible objects, and their appearance is easily affected by clothing, scale, occlusion, posture and viewing angle, which makes pedestrian detection a research difficulty and hotspot in the field of intelligent video surveillance. Pedestrian detection is mainly divided into two steps, first feature extraction, and then classification and positioning. Among them, there are three main types of feature extraction methods: (1) the underlying feature extr...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
Inventor 赵威冯圣中冯良炳
Owner 珠海中科先进科技产业有限公司
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