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Content Provider | IEEE Xplore Digital Library |
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Author | Yong Wang Ke Lu Rui Zhai |
Copyright Year | 2014 |
Description | Author affiliation: Coll. of Eng. & Inf. Technol., Univ. of Chinese Acad. of Sci., Beijing, China (Yong Wang; Ke Lu; Rui Zhai) |
Abstract | Multi-camera tracking is quite different from single camera tracking in mathematical principles and application scenarios, and it faces new technology and system architecture challenges. The existing theories and algorithms used in object matching, cameras calibration and topology estimation, and information fusion have been reviewed and show that the integrated application of multi techniques and multi theories is the key to solve the technology challenges. The distributed architectures of multi-camera tracking system based on camera processor and based on object agent have been compared and show that improving the computation ability of cameras and reducing the functions of control center is the key to solve the architecture challenges. |
Starting Page | 32 |
Ending Page | 37 |
File Size | 242881 |
Page Count | 6 |
File Format | |
ISBN | 9781479958351 |
DOI | 10.1109/CISP.2014.7003745 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2014-10-14 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Filtering information fusion multi-camera tracking object matching Estimation system architecture camera calibration Computer architecture Cameras Topology Calibration Object tracking |
Content Type | Text |
Resource Type | Article |
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