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Proceedings Paper

An analysis of automatic human detection and tracking
Author(s): Philipe Rangel Demuth; Daniel Luiz Cosmo; Patrick Marques Ciarelli
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Paper Abstract

This paper presents an automatic method to detect and follow people on video streams. This method uses two techniques to determine the initial position of the person at the beginning of the video file: one based on optical flow and the other one based on Histogram of Oriented Gradients (HOG). After defining the initial bounding box, tracking is done using four different trackers: Median Flow tracker, TLD tracker, Mean Shift tracker and a modified version of the Mean Shift tracker using HSV color space. The results of the methods presented in this paper are then compared at the end of the paper.

Paper Details

Date Published: 8 December 2015
PDF: 5 pages
Proc. SPIE 9875, Eighth International Conference on Machine Vision (ICMV 2015), 98750Q (8 December 2015); doi: 10.1117/12.2228903
Show Author Affiliations
Philipe Rangel Demuth, Univ. Federal do Espírito Santo (Brazil)
Daniel Luiz Cosmo, Univ. Federal do Espírito Santo (Brazil)
Patrick Marques Ciarelli, Univ. Federal do Espírito Santo (Brazil)


Published in SPIE Proceedings Vol. 9875:
Eighth International Conference on Machine Vision (ICMV 2015)
Antanas Verikas; Petia Radeva; Dmitry Nikolaev, Editor(s)

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