Robust Descriptors Fusion for Pedestrians' Re-identification and Tracking Across a Camera Network
نویسندگان
چکیده
In this paper, we introduce a new approach to identify people in multi-camera based on AdaBoost descriptors cascade. Given the complexity of this task, we propose a new regional color feature vector based on intra and inter color histograms fusion to characterize a person in multi-camera. This descriptor is, then, integrated into an extensive comparative study with several existing color, texture and shape feature vectors in order to choose the best ones. We prove through a comparative study with the main existing approaches on the VIPeR dataset and using Cumulative Matching Characteristic measurement that the proposed approach is very suitable to identify a person providing very satisfactory performances.
منابع مشابه
Pedestrians Tracking in a Camera Network
With the increase of the number of cameras installed across a video surveillance network, the ability of security staffs to attentively scan all the video feeds actually decreases. Therefore, the need for an intelligent system that operates as a tracking system is vital for security personnel to do their jobs well. Tracking people as they move through a camera network with non-overlapping field...
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