Online Multiple Object Tracking using Physical Location Prediction
Authors: 
Jiasong Li, Minglei Li, Alexis Tamayo, Jia LiAuthors Info & Claims
Jiasong Li, Minglei Li, Alexis Tamayo, Jia LiAuthors Info & ClaimsPages 145 - 150
Abstract
Tracking-by-detection is a commonly used paradigm for multiple-object tracking. This paper presents a method that incorporates the prediction of physical locations of people into the tracking-by-detection paradigm. The proposed method predicts the physical locations of people on an estimated ground plane and applies a learning-based framework to extract the appearance features of people across frames in a video stream. The method combines the prediction of physical locations with appearance features to realize online pedestrian tracking. Experimental results show that the proposed method improves multi-object tracking in terms of the Number of Identity Switches (IDSW) and the fragmentations (Frag).
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January 2022
185 pages
ISBN:9781450387477
DOI:10.1145/3523150
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Published: 13 April 2022
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ICMLSC 2022
ICMLSC 2022: 2022 The 6th International Conference on Machine Learning and Soft Computing
January 15 - 17, 2022
Haikou, China
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