Motion detection and tracking algorithms in video streams

Moving objects detection and tracking in video stream are basic fundamental and critical tasks in many computer vision applications. We have presented in this paper effectiveness increase of algorithms for moving objects detection and tracking. For this, we use additive minimax similarity function....

全面介紹

Saved in:
書目詳細資料
Main Authors: R., Bogush, S., Maltsev, A. Kastryuk, N., Brovko, D., Hlukhau
格式: Article
語言:English
出版: H. : ĐHQGHN 2017
主題:
在線閱讀:http://repository.vnu.edu.vn/handle/VNU_123/56766
標簽: 添加標簽
沒有標簽, 成為第一個標記此記錄!
機構: Vietnam National University, Hanoi
語言: English
實物特徵
總結:Moving objects detection and tracking in video stream are basic fundamental and critical tasks in many computer vision applications. We have presented in this paper effectiveness increase of algorithms for moving objects detection and tracking. For this, we use additive minimax similarity function. Background reconstruction algorithm is developed. Moving and tracking objects detection algorithms are modified on the basis of additive minimax similarity function. Results of experiments are presented according to time expenses of the moving object detection and tracking.