Object Tracking with Bayesian Estimation of Dynamic Layer Representations
By Hai Tao, Harpreet S. Sawhney, Rakesh Kumar. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002
350 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/3310fa9fb352fb19a5da1498cfe3c172ac3908ae
How researchers see this paper
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In Artificial Intelligence
- Mubarak Shah
- Ramkant Nevatia
- Larry S. Davis
- Bo Wu
- Xiaogang Wang
- Tao Zhao
- Yaser Sheikh
- Nuno Vasconcelos
In Computer Vision and Pattern Recognition
- Luc Van Gool
- Xiaogang Wang
- Mubarak Shah
- Jitendra Malik
- Ming-Hsuan Yang
- Dacheng Tao
- Bernt Schiele
- Andrew Zisserman
Citations in the corpus
- Background Subtraction for Freely Moving Cameras (2009, methodology): “Layer-based methods [33, 28, 15, 35] model the scene as piece-wise planar scenes, and cluster segments based on some measure of motion coherency.”
- Segmentation and Tracking of Multiple Humans in Crowded Environments (2008, methodology): “Many previous approaches [20], [9], [54], [37], [44], [15], [18], [40], [24], [3], [45] use motion blobs detected by comparing pixel colors in a frame to learned models of the stationary background.”
- Object tracking: A survey (2006, methodology): “Layering is performed by .rst compensating the background motion modeled by projective motion such that the object s motion can be estimated from the compensated image using 2D parametric motion.”
- Fast multiple object tracking via a hierarchical particle filter (2005, positive): “Model-based tracking algorithms incorporate a priori information about the objects to develop representations such as skin complexion, body blobs, kinematic skeleton, silhouettes or layer information [38, 36, 5, 33, 32, 6].”
- Tracking multiple humans in complex situations (2004, background): “Additional stabilization is required if the camera is mobile [7], [42].”
- Consistent Labeling of Tracked Objects in Multiple Cameras with Overlapping Fields of View (2003, methodology): “We employ a novel approach of finding the limits of field of view (FOV) of each camera as visible in the other cameras.”
- Tracking Multiple Occluding People by Localizing on Multiple Scene Planes (2009, methodology): “For a detailed review of the state of the art in tracking research, the reader is referred to the recent survey by Yilmaz et al. [61].”