Target tracking based on the cognitive associative network. Issue 3 (25th January 2019)

• Record Type: Journal Article
• Authors: Xiu, Chunbo; Chai, Zuohong
• Is Part Of: IET image processing. Volume 13:Issue 3(2019)
• Page Start: 498
• Page End: 505
• Publication Date: 2019-01-25
• Subjects: image motion analysis -- image matching -- object detection -- target tracking -- feature extraction -- object tracking -- image colour analysis; cognitive associative network -- target tracking method -- novel tracking method -- tracking target -- common tracking methods -- compressive tracking method; Image processing -- Periodicals; 621.36705
• DOI: 10.1049/iet-ipr.2018.5461
• Languages: English
• ISSNs: 1751-9659

Abstract

Abstract : To extend the application of the cognitive associative network and improve the performance of the target tracking method, a novel tracking method based on the new network is proposed, i.e. the cognitive associative network is transformed and used to perform the target tracking. The local hue histograms are used to model the target, and the circle matching criterion is used to locate the target, which can restrain the disturbance from the adjacent regions in the background. It can also adjust adaptively the size of the tracking target according to the local matching results. Therefore, the tracking method based on the cognitive associative network has good invariability to the scale, the rotation, and the partial occlusion. Simulation results show that the tracking method can perform the target tracking in the disturbance environment or in the scene of the complex motion. The tracking method can locate the target more accurately than the common tracking methods such as the Camshift method or the compressive tracking method.