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3D Point Cloud Based Hybrid Maps Reconstruction for Indoor Environments Read chapter Read first chapter

2013 | OriginalPaper | Chapter

4. Target Tracking Algorithm Based on Visual Perception Mechanism

Authors : Peng Lu, Shilei Huang, Chi Liu, Daoren Yuan, Yafei Lou

Published in: Proceedings of 2013 Chinese Intelligent Automation Conference

Publisher: Springer Berlin Heidelberg

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Abstract

A method based on visual perception mechanism is proposed for solving the problem of target tracking. The tracking of target can be achieved in stability. In this paper, the algorithm use neural responses as the visual features. Firstly, the receptive field of cells in primary visual cortex is obtained from natural images. Then the neurons response of background image and video image sequences can be received and calculated the difference, and the difference is compared with dynamic threshold, the target can be detected in this way. Finally, the target tracking can be realized by iterative. Many categories experiment results show that this method improve accuracy and robustness of the tracking algorithm in condition of time-real.

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Metadata
Title
Target Tracking Algorithm Based on Visual Perception Mechanism
Authors
Peng Lu
Shilei Huang
Chi Liu
Daoren Yuan
Yafei Lou
Copyright Year
2013
Publisher
Springer Berlin Heidelberg
Book
Proceedings of 2013 Chinese Intelligent Automation Conference

Print ISBN: 978-3-642-38465-3

Electronic ISBN: 978-3-642-38466-0

Copyright Year: 2013

DOI
https://doi.org/10.1007/978-3-642-38466-0_4