Robot vision system for pedestrian-flow detection

Yuan Y. Tang; Yean J. Lu; Ching Y. Suen

doi:10.1117/12.57959

30 April 1992 Robot vision system for pedestrian-flow detection

Yuan Y. Tang, Yean J. Lu, Ching Y. Suen

Proceedings Volume 1611, Sensor Fusion IV: Control Paradigms and Data Structures; (1992) https://doi.org/10.1117/12.57959
Event: Robotics '91, 1991, Boston, MA, United States

Abstract

Traffic and transportation engineers continually require a more accurate and large amount of pedestrian flow data for numerous purposes. For example, the increasing use of pedestrian facilities such as building complexes, shopping malls, and airports in densely populated cities demands pedestrian flow data for planning, design, operation, and monitoring of these facilities. Currently, measurement of pedestrian flow data is often performed manually. This paper proposes a robot vision system to measure the number and walking direction of pedestrians using difference image and shape reconstruction techniques. The system consists of eight steps: (1) conversion of video images, (2) digitization of frozen frames, (3) conversion of 256-grey-level images into bilevel images, (4) extraction of rough sketch of pedestrian using difference images, (5) removal of line-noise, (6) reconstruction of shape of the pedestrian, (7) measurement of the number of pedestrians, and (8) determination of the direction of pedestrian movement. In this system, the operations in each step depend only on local information. Thus, they can be performed independently in parallel. A very large scale integration architecture can be implemented in this system to speed up calibration. The accuracy in measuring the number of pedestrians and their direction of travel is about 93% and 92%, respectively.

Citation Download Citation

Yuan Y. Tang, Yean J. Lu, and Ching Y. Suen "Robot vision system for pedestrian-flow detection", Proc. SPIE 1611, Sensor Fusion IV: Control Paradigms and Data Structures, (30 April 1992); https://doi.org/10.1117/12.57959

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