An analysis of automatic human detection and tracking

Philipe Rangel Demuth; Daniel Luiz Cosmo; Patrick Marques Ciarelli

doi:10.1117/12.2228903

8 December 2015 An analysis of automatic human detection and tracking

Philipe Rangel Demuth, Daniel Luiz Cosmo, Patrick Marques Ciarelli

Proceedings Volume 9875, Eighth International Conference on Machine Vision (ICMV 2015); 98750Q (2015) https://doi.org/10.1117/12.2228903
Event: Eighth International Conference on Machine Vision, 2015, Barcelona, Spain

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.

Citation Download Citation

Philipe Rangel Demuth, Daniel Luiz Cosmo, and Patrick Marques Ciarelli "An analysis of automatic human detection and tracking", Proc. SPIE 9875, Eighth International Conference on Machine Vision (ICMV 2015), 98750Q (8 December 2015); https://doi.org/10.1117/12.2228903

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