Panoramic Appearance Map (PAM) for Multi-camera Based Person Re-identification

Panoramic Appearance Map (PAM) for Multi-camera Based Person Re-identification

This paper proposes a concept of panoramic appearance map to perform reidentification of a people who leave the scene and reappear after some time. The map is a compact signature of appearance information of a person extracted from multiple cameras. The person is detected and tracked in multiple cam...

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Hauptverfasser: Gandhi, Tarak, Trivedi, Mohan M.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Azimuth
Camera network
Cameras
Color
Color matching
Computer vision
Data mining
Histograms
Intelligent vehicles
Layout
Multiple view geometry
Robot vision systems
Surveillance
Video Surveillance
Visual tracking
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Trivedi, Mohan M.
description This paper proposes a concept of panoramic appearance map to perform reidentification of a people who leave the scene and reappear after some time. The map is a compact signature of appearance information of a person extracted from multiple cameras. The person is detected and tracked in multiple cameras and triangulation is used to accurately localize the person in 3-D. A virtual cylinder is formed around the person's location and mapped onto an image with the horizontal axis representing the azimuth angle and vertical axis representing the height. Each bin in the map image gets the appearance information from all the cameras which can observe it. The maps between different tracks are matched using a weighted metric. Experimental results showing person matching and reidentification show the effectiveness of the approach.
doi_str_mv 10.1109/AVSS.2006.90
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Azimuth
Camera network
Cameras
Color
Color matching
Computer vision
Data mining
Histograms
Intelligent vehicles
Layout
Multiple view geometry
Robot vision systems
Surveillance
Video Surveillance
Visual tracking
title Panoramic Appearance Map (PAM) for Multi-camera Based Person Re-identification
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