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A Novel Method for Tracking and Counting Pedestrians in Real-Time Using a Single Camera (2001)
| Venue: | IEEE Transactions on Vehicular Technology |
| Citations: | 48 - 1 self |
BibTeX
@ARTICLE{Masoud01anovel,
author = {Osama Masoud and Nikolaos P. Papanikolopoulos and Senior Member},
title = {A Novel Method for Tracking and Counting Pedestrians in Real-Time Using a Single Camera},
journal = {IEEE Transactions on Vehicular Technology},
year = {2001},
volume = {50},
pages = {1267--1278}
}
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Abstract
This paper presents a real-time system for pedestrian tracking in sequences of grayscale images acquired by a stationary camera. The objective is to integrate this system with a traffic control application such as a pedestrian control scheme at intersections. The proposed approach can also be used to detect and track humans in front of vehicles. Furthermore, the proposed schemes can be employed for the detection of several diverse traffic objects of interest (vehicles, bicycles, etc.) The system outputs the spatio-temporal coordinates of each pedestrian during the period the pedestrian is in the scene. Processing is done at three levels: raw images, blobs, and pedestrians. Blob tracking is modeled as a graph optimization problem. Pedestrians are modeled as rectangular patches with a certain dynamic behavior. Kalman filtering is used to estimate pedestrian parameters. The system was implemented on a Datacube MaxVideo 20 equipped with a Datacube Max860 and was able to achieve a peak performance of over 30 frames per second. Experimental results based on indoor and outdoor scenes demonstrated the system's robustness under many difficult situations such as partial or full occlusions of pedestrians.
Keyphrases
novel method counting pedestrian single camera datacube max860 many difficult situation experimental result datacube maxvideo outdoor scene pedestrian parameter full occlusion grayscale image pedestrian tracking peak performance several diverse traffic object blob tracking certain dynamic behavior spatio-temporal coordinate pedestrian control scheme graph optimization problem real-time system stationary camera kalman filtering traffic control application rectangular patch raw image
