Journal of Jilin University(Engineering and Technology Edition) ›› 2021, Vol. 51 ›› Issue (4): 1370-1374.doi: 10.13229/j.cnki.jdxbgxb20200252

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Dynamic object detection method of video surveillance based on motion vector space coding

De-lun PAN1(),Jun JI2,Yue-jin ZHANG3   

  1. 1.Information Network Center，Beijing Sport University，Beijing 100084，China
    2.Library，Beijing Sport University，Beijing 100084，China
    3.School of Information Engineering，East China Jiaotong University，Nanchang 330013，China
  • Received:2020-04-17 Online:2021-07-01 Published:2021-07-14

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Abstract:

In the current video monitoring dynamic target detection process, the pre-estimation of the target position is ignored, which leads to a long detection time and a large detection error. To solve this problem, a dynamic target detection method for video surveillance based on motion vector space coding is proposed. Motion vector space coding method is applied for background modeling, CamShift target tracking algorithm based on kalman filter is used to detect the target, and estimate the search scope and the location of the target at the next appearing moment. CamShift is combined with estimation results to search the true location, correct the target search scope, acceleration and speed, thus, completing the video monitoring dynamic target detection. The experimental results show that the proposed method has high efficiency in detecting dynamic targets and high accuracy in detecting results.

Key words: motion vector space coding, video surveillance, background modeling, dynamic target detection

CLC Number: 

  • TP391

Fig.1

Test results by different methods"

Fig.2

Detection accuracy by different methods"

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