Abstract
Efficient and reliable human tracking in arbitrary environments is challenging, as there is currently no single solution that can successfully handle all scenarios. In this paper we present a novel approach that uses a top view 3D camera, which employs a simplified yet expressive human body model for effective multi-target detection and tracking. Both bottom-up and high level processes are involved to construct a saliency map with selective visual information. We handle the tracking task in a hierarchical data association framework, and a novel salience occupancy pattern (SOP) descriptor is proposed as the motion representation for action recognition. Our real-time bird’s-eye multi-person tracking and recognition approach is being applied in a human-computer interaction (HCI) research prototype, and has a wide range of applications.
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Hu, G., Reilly, D., Swinden, B., Gao, Q. (2014). Human Activity Analysis in a 3D Bird’s-eye View. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2014. Lecture Notes in Computer Science(), vol 8815. Springer, Cham. https://doi.org/10.1007/978-3-319-11755-3_41
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DOI: https://doi.org/10.1007/978-3-319-11755-3_41
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