Tracking Multiple Occluding People by Localizing on Multiple Scene Planes

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Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks (2022, background): “WITH the rapid development of supervised learning, current learning systems have achieved or even surpassed human-level performances in many tasks [1], [2], [3], [4], [5], [6].”
People reidentification in surveillance and forensics (2013, background): “A plethora of systems based on this assumption and relationship have been proposed [Cai and Aggarwal 1998; Lee et al. 2000; Ellis and Black 2003; Hu et al. 2006; Hyodo et al. 2008; Khan and Shah 2009; Monari et al. 2009; Anjum and Cavallaro 2009].”
Survey on Contemporary Remote Surveillance Systems for Public Safety (2010, background): “Multiple views of the same scene attempts to acquire information that might be omitted in a particular view [67].”
Multiple Object Tracking Using K-Shortest Paths Optimization (2011, positive): “For example, Khan and Shah [29] apply graph cuts to extract trajectories from a batch of people detections obtained using homographic constraints on images from multiple cameras.”