Robust Multiperson Tracking from a Mobile Platform

By Andreas Ess, Bastian Leibe, Konrad Schindler, Luc Van Gool. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009

299 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/0dfdb4d55430b88d01c0a6d7d6e20df0f6a932fc

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In Computer Vision and Pattern Recognition

Citations in the corpus

We Are Family: Joint Pose Estimation of Multiple Persons (2010, background): “in [13] as space-time constraints preventing multiple people from occupying the same 3D space at the same time).”
Object Detection and Tracking for Autonomous Navigation in Dynamic Environments (2010, background): “Parts of the presented work have appeared in the preliminary papers (Ess et al. 2009a,c).”
Continuous Energy Minimization for Multitarget Tracking (2014, background): “Note that the penalty is closely related to the intersection of the target volumes, which is also used by some authors [16], but our variant goes to infinity in the impossible case when both objects occupy the same 3D space.”
D Traffic Scene Understanding from Movable Platforms (2013, background): “In [14], [23], [60] the camera pose and the location of objects are inferred jointly.”
Are Cars Just 3D Boxes? Jointly Estimating the 3D Shape of Multiple Objects (2014, background): “boxes [20, 10, 27, 36] – to some degree because off-theshelf object detectors [8, 12] output only bounding boxes.”
3D Traffic Scene Understanding From Movable Platforms (2014, unknown): “Conclusions are drawn in Section 6.”
Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of-the-Art (2017, methodology): “This approach was extended through the integration of depth from stereo and odometry by Ess et al. (2009a). Alternatively to discretization, continuous energy minimization approaches have been proposed.”
Joint SFM and detection cues for monocular 3D localization in road scenes (2015, background): “A different approach is that of multi-target tracking frameworks that combine object detection with stereo [4] or monocular SFM [3, 20].”
People tracking in RGB-D data with on-line boosted target models (2011, background): “The work of [13], [14] detect people in intensity images and track them in 3D.”
Online Multiperson Tracking-by-Detection from a Single, Uncalibrated Camera (2011, methodology): “Additionally, to handle occlusions more robustly, other researchers use 3D information [ 11 ], [15], train detectors for individual body parts [45], or apply application-specific motion models [35].”
Pedestrian Detection: An Evaluation of the State of the Art (2012, background): “For an overview of how detectors are incorporated into full automotive systems that utilize stereo, scene geometry, tracking, or other imaging modalities (e.g., [30], [38], [39], [40], [41]), we refer readers to [2], [42], [43].”
Object scene flow for autonomous vehicles (2015, background): “Important applications include mobile robotics and autonomous driving where 3D object motion is a fundamental input to high-level tasks such as scene understanding, obstacle avoidance or path planning [5,7,10,28].”