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Pedestrian tracking method based on least square locus prediction and intelligent obstacle avoidance model

A least squares, intelligent obstacle avoidance technology, applied in the field of image processing, can solve problems such as color change, deviation, multi-target tracking occlusion, etc., to achieve the effect of improving accuracy

Inactive Publication Date: 2016-10-12
NANJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0004] The purpose of the present invention is to solve the tracking problems of severe occlusion, excessive displacement and color changes in multi-target tracking, and provides a pedestrian tracking method based on least squares trajectory prediction and intelligent obstacle avoidance model. , taking the surrounding environmental factors into account, because if the influence of these objective environmental factors is not considered, the results calculated by the tracking algorithm will deviate from the real results

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  • Pedestrian tracking method based on least square locus prediction and intelligent obstacle avoidance model
  • Pedestrian tracking method based on least square locus prediction and intelligent obstacle avoidance model

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[0038] The following is attached with the manual picture The technical scheme of the present invention is described in detail:

[0039] The present invention provides a pedestrian tracking method based on least squares trajectory prediction and intelligent obstacle avoidance model. The realization idea is as follows: firstly, the traditional Kalman algorithm is used to realize initial target tracking, and improvements are made to address its shortcomings; then Aiming at the high follow-up and wrong rate of pedestrian tracking by Kalman method, the least square method is proposed to fit the pedestrian motion curve, predict the pedestrian's position in the next video frame, and use this position as the initial moving target to search; Finally, due to the particularity of pedestrians, their psychology and exercise habits will greatly affect their movement, which is more random. Aiming at this characteristic, a combination of adaptive obstacle avoidance algorithm is proposed to t...

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Abstract

The invention discloses a pedestrian tracking method based on least square locus prediction and an intelligent obstacle avoidance model. The method comprises the steps of: first, utilizing a traditional Kalman algorithm to realize initial stage target tracking, and to overcome deficiencies; in order to solve the problem that the pedestrian tracking lost and fault rate of the Kalman algorithm is higher, a least square method being provided to perform pedestrian motion curve fitting, predicting a pedestrian position in a next video frame, and employing the position as an initial motion target for searching; and finally, tracking pedestrians based on a self-adaption obstacle avoidance method, and improving tracking accuracy.

Description

technical field [0001] The invention relates to a method for extracting video summaries, in particular to a pedestrian tracking method based on least squares trajectory prediction and intelligent obstacle avoidance model, which belongs to picture Like dealing with technical fields. Background technique [0002] Object tracking technology is an important topic in the field of computer vision and pattern recognition. The main purpose of target tracking technology is to locate the moving target, mark the target, and obtain the trajectory of the target, but the target tracking effect of the existing methods is not ideal under the conditions of target occlusion, sudden illumination change, and background change. [0003] Target tracking technology has received more and more attention from scholars, and at this stage it has gained a new definition: use the current motion state information to estimate and predict the number of targets to be tracked in the area and their state info...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/20
CPCG06T2207/30241
Inventor 朱松豪陈玲玲李向向荆晓远岳东
Owner NANJING UNIV OF POSTS & TELECOMM
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