NDLI: Maneuvering object tracking under large-area occlusive condition using mean shift embedded IMM filter

Content Provider	IEEE Xplore Digital Library
Author	Peng Xiao Miyi Duan Chongzhao Han Sijia Liu Deqiang Han
Copyright Year	2010
Description	Author affiliation: School of Computer Science & Engineering, Beihang University, Beijing, 100083, China (Peng Xiao; Miyi Duan) \|\| Institute of Integrated Automation, Xi'an Jiaotong University, 710049, China (Chongzhao Han; Sijia Liu; Deqiang Han)
Abstract	Visual tracking is the act of consistently locating a desired feature in each image of a given input sequence and it is typically complicated by several factors such as noise of sensors, motion in the scene, motion on the part of the observer and real-time constraints. In this paper, a novel visual tracking approach is proposed by jointly using mean shift and IMM, which can effectively deal with the visual tracking problem. The proposed approach can also resolve the target large-area occlusions. Based on the experimental results provided, it can be concluded that our proposed approach is rational and effective.
File Size	981224
File Format	PDF
ISBN	9781424481040
e-ISBN	9781424481064
DOI	10.1109/ICINA.2010.5636783
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computers Target Tracking IMM Visual Tracking Mean shift (MS)
Content Type	Text
Resource Type	Article

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Maneuvering object tracking under large-area occlusive condition using mean shift embedded IMM filter