光电工程, 2018, 45 (8): 170665, 网络出版: 2018-08-25
四帧间差分与光流法结合的目标检测及追踪
Algorithm for object detection and tracking combined on four inter-frame difference and optical flow methods
物体检测及追踪 四帧间差分法 光流法 粒子滤波 ViBe 算法 object detection and tracking four inter-frame difference method optical flow method particle filter ViBe
摘要
为了能在复杂环境下快速、准确地对多个目标进行检测及追踪,本文结合四帧间差分算法与光流算法,提出了一种更高效的运动目标检测算法。本算法为了提升光流法的处理速度并降低光照等环境所带来的影响,首先对视频序列进行四帧间差分处理,然后将得到的差分视频序列进行光流处理,以实现对视频中目标的准确检测。最后将该算法与粒子滤波、ViBe 等算法进行比较,并在不同场景下对不同运动目标、不同个数目标进行捕获处理,结果表明,本方法不仅具有较好的鲁棒性,而且能够更快速、准确的对目标进行检测与追踪。
Abstract
To solve the problem of multiple targets’ detection and tracking under the complex environment, in this paper, an improved moving objects detection method is proposed based on four inter-frame differential method and optical flow algorithm. Firstly, four inter-frame difference method is used to process the of video sequences. Then objects in the video is detected accurately by the optical flow algorithm used on light streaming video sequences. This improved method enhances the processing speed of optical flow method and reduces the effects of environment’s illumination. Finally, the paper compares the proposed algorithm with particle filter, ViBe algorithm under different scenarios with different moving targets and individual number. This improved method is proved not only with good robustness, but also can work more quickly and accurately on the target detection and tracking.
刘鑫, 金晅宏. 四帧间差分与光流法结合的目标检测及追踪[J]. 光电工程, 2018, 45(8): 170665. Liu Xin, Jin Xuanhong. Algorithm for object detection and tracking combined on four inter-frame difference and optical flow methods[J]. Opto-Electronic Engineering, 2018, 45(8): 170665.