Matrix Separation and Poisson Multi-Bernoulli Mixture Filtering for Extended Multi-Target Tracking with Infrared Images
Jian Su,
Haiyin Zhou,
Qi Yu
et al.
Abstract:Multi-target tracking using infrared images is receiving more and more attention. There are many state-of-the-art methods, and the deep learning network and low-rank and sparse matrix separation are two kinds of methods with high accuracy. However, the former suffers from heavy training samples, and the latter requires high-dimensional processing, meaning its computing cost is huge. In this work, a united detection and tracking method with matrix separation and PMBM filtering is proposed. In the detection proc… Show more
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