Tracking multiple objects using visual-based sensors

Allen Weng

doi:10.1117/12.2673209

14 April 2023 Tracking multiple objects using visual-based sensors

Allen Weng

Proceedings Volume 12612, International Conference on Artificial Intelligence and Industrial Design (AIID 2022); 1261217 (2023) https://doi.org/10.1117/12.2673209
Event: International Conference on Artificial Intelligence and Industrial Design (AIID 2022), 2022, Zhuhai, China

Abstract

Multiple object tracking is a field with extensive practical applications. The problem of multiple object tracking can be broken down to tracking and association. The algorithms of common tracking and association algorithms are described in this paper and their relative characteristics described. Two different association algorithms, Global Nearest Neighbor and Multiple Hypothesis Tracking are compared using a MATLAB simulation run on different test footage. The characteristic features with regards to track creation and assignment accuracy of the two are shown by their performance in both cases.

Citation Download Citation

Allen Weng "Tracking multiple objects using visual-based sensors", Proc. SPIE 12612, International Conference on Artificial Intelligence and Industrial Design (AIID 2022), 1261217 (14 April 2023); https://doi.org/10.1117/12.2673209

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