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Improved weighting region matching high-altitude video pedestrian recognizing method

A high-altitude video and pedestrian recognition technology, applied in the field of image processing, can solve problems such as large noise areas, background clutter, and blurred details

Inactive Publication Date: 2013-04-17
SUZHOU UNIV
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  • Summary
  • Abstract
  • Description
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AI Technical Summary

Problems solved by technology

The invention can well solve the problems of fuzzy details, cluttered background and a large number of noise areas in the high-altitude video, and can automatically obtain the number of voters according to the video content

Method used

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  • Improved weighting region matching high-altitude video pedestrian recognizing method
  • Improved weighting region matching high-altitude video pedestrian recognizing method
  • Improved weighting region matching high-altitude video pedestrian recognizing method

Examples

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Embodiment

[0141] Example: such as figure 1 The overall scheme of the KS-WRM method shown includes the following steps:

[0142] (1) Read each frame in the video sequence, use the Kalman filter algorithm to mark the candidate area, and select voters from the manually marked voter library;

[0143] (2) Perform pedestrian detection on the candidate area marked in step (1), and mark the candidate;

[0144] (3) Segment the pedestrian target from the marked candidates, and use the correction algorithm to correct the pedestrian target accordingly, so as to obtain the candidate set;

[0145] (4) Weight the area of ​​the pedestrian target in the candidate set, measure the matching degree between the voter and the candidate, and calculate the full probability P(c) of the voter corresponding to each candidate j ), and again select the pedestrian P with the largest total probability of the candidate from the calculated total probability obj =max{P(c j )}, and with the threshold T obj In compar...

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Abstract

The invention discloses an improved weighting region matching high-altitude video pedestrian recognizing method (KS-WRM (KS-weighting matching region)). The improvement is reflected as follows: 1) confirming a candidate region by utilizing Kalman filtering; 2) fixing a camera or not by adopting different pedestrian detecting strategies; 3) proposing a pedestrian detecting method of an HLS (hue, lightness and saturation) model with multi-characteristic fusion; and 4) dividing pedestrians based on CA obvious region detection of context sensing. According to the invention, pedestrians can be recognized accurately under complex occasions of blur details, complex backgrounds, noise influences and the like. And the improved weighting region matching high-altitude video pedestrian recognizing method (KS-WRM) provided by the invention can be used for pedestrian detection and recognition at places with high visitor flow rate, such as remote sensing satellite images, malls, subway stations, railway stations, airports, as well as intelligent traffic control, intelligent vehicle auxiliary driving, pedestrian flow rate statistics and analysis places.

Description

technical field [0001] The invention belongs to the field of image processing, and in particular relates to an improved weighted area matching high-altitude video pedestrian recognition method. Background technique [0002]For most intelligent video surveillance systems, objects such as people or cars appearing in the scene are the focus of attention, and pedestrian objects are the most active and important elements in the monitoring scene, so pedestrian object detection and recognition technology has been researched a lot It has become one of the research hotspots in the field of computer vision. Since the 1980s, many scholars at home and abroad have done a lot of research on pedestrian detection and recognition technology. For example, VSAM (Visual Surveillance and Monitoring) in the United States mainly studies automatic video understanding technology used in military and ordinary civilian situations; HID (Human Identification at a Distance) project, which mainly develop...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/32
Inventor 刘纯平王兴宝王宜怀吴健龚声蓉
Owner SUZHOU UNIV
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