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Multi-camera target detection and tracking method

Author: YanJie
Tutor: QiuJinBo
School: Huazhong University of Science and Technology
Course: Communication and Information System
Keywords: Multi-camera Target Detection Tracking Target recognition Choose the best camera
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 108
Quote: 0
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Abstract


Video tracking is a fundamental computer vision research topic , but also a very challenging research directions. In the current real life, video tracking technology has been in a variety of areas has been widely applications, including video surveillance, military engineering , traffic management , intelligent robots and human-computer interaction , with a high value of academic research and application . Single- camera video tracking system , there are many unresolved issues, including the target block , the camera field of view is limited, can not be a full range of tracking problems, and multi-camera tracking system can be well overcome these problems. Therefore, the multi-camera target detection and tracking are becoming a hot research . In this paper, on the basis of previous studies , focusing on how to improve the multi-camera recognition accuracy between the target and how to ensure accurate tracking of the target conditions, reducing overall system data transmission and computation . This paper analyzes the field of multi-camera tracking , target recognition problem between the camera , we propose a planar homography based on the recognition technology , the introduction of target distance characteristics of the new method . As the distance from the target plane homography constraint conditions, adding the target distance characteristics can effectively improve the recognition camera between target accuracy. Experimental results show that the plane homography on the recognition algorithm , increasing the target distance characteristics , the recognition accuracy is improved to some extent . In order to effectively reduce the multi-camera tracking system data transmission and computation , this paper also presents a selection based on optimal camera tracking algorithm , and from the theoretical analysis and experimental on the performance of the algorithm was evaluated . Experimental results show that the algorithm does not reduce the accuracy of the target tracking in the case , to effectively reduce the overall data transmission system and computation .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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