Research on the Detection and Tracking Algorithm of Moving Object in Image Based on Computer Vision Technology

In order to improve the video image processing technology, this paper presents a moving object detection and tracking algorithm based on computer vision technology. Firstly, the detection performance of the interframe difference method and the background difference model method is compared comprehen...

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Veröffentlicht in:Wireless communications and mobile computing Jg. 2021; H. 1
Hauptverfasser: Chen, Chunsheng, Li, Din
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Oxford Hindawi 2021
John Wiley & Sons, Inc
Schlagworte:
Algorithms
Artificial intelligence
Computer vision
Computers
Edge detection
Image processing
Kalman filters
Moving object recognition
Moving targets
Run time (computers)
Tracking
ISSN:1530-8669, 1530-8677
Online-Zugang:Volltext
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Zusammenfassung:In order to improve the video image processing technology, this paper presents a moving object detection and tracking algorithm based on computer vision technology. Firstly, the detection performance of the interframe difference method and the background difference model method is compared comprehensively from both theoretical and experimental aspects, and then the Robert edge detection operator is selected to carry out edge detection of the vehicle. The research results show that the algorithm proposed in this paper has the longest running time per frame when tracking a moving target, which is about 2.3 times that of the single frame running time of the CamShift algorithm. The algorithm has high running efficiency and can meet the requirements of real-time tracking of a foreground target. The algorithm has the highest tracking accuracy, the time consumption is reduced, and the error of the tracking frame deviating from the real position of the target is the least.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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ISSN:1530-8669
1530-8677
DOI:10.1155/2021/1127017