• Publications
  • Influence
Global data association for multi-object tracking using network flows
TLDR
We propose a network flow based optimization method for data association needed for multiple object tracking. Expand
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TALL: Temporal Activity Localization via Language Query
TLDR
We propose a novel Cross-modal Temporal Regression Localizer (CTRL) to jointly model text query and video clips, output alignment scores and action boundary regression results for candidate clips. Expand
  • 166
  • 69
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Robust Object Tracking by Hierarchical Association of Detection Responses
TLDR
We present a detection-based three-level hierarchical association approach to robustly track multiple objects in crowded environments from a single camera. Expand
  • 515
  • 54
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Detection of multiple, partially occluded humans in a single image by Bayesian combination of edgelet part detectors
  • Bo Wu, R. Nevatia
  • Computer Science
  • Tenth IEEE International Conference on Computer…
  • 17 October 2005
TLDR
This paper proposes a method for human detection in crowded scene from static images. Expand
  • 838
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An online learned CRF model for multi-target tracking
  • B. Yang, R. Nevatia
  • Mathematics, Computer Science
  • IEEE Conference on Computer Vision and Pattern…
  • 16 June 2012
We introduce an online learning approach for multitarget tracking. Detection responses are gradually associated into tracklets in multiple levels to produce final tracks. Unlike most previousExpand
  • 304
  • 43
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Detection and Tracking of Multiple, Partially Occluded Humans by Bayesian Combination of Edgelet based Part Detectors
  • Bo Wu, R. Nevatia
  • Computer Science
  • International Journal of Computer Vision
  • 1 November 2007
TLDR
We present an approach to automatically detect and track multiple, possibly partially occluded humans in a walking or standing pose from a single camera, which may be stationary or moving. Expand
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TURN TAP: Temporal Unit Regression Network for Temporal Action Proposals
TLDR
We propose a novel Temporal Unit Regression Network (TURN) model. Expand
  • 230
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Recognition and Segmentation of 3-D Human Action Using HMM and Multi-class AdaBoost
TLDR
We decompose the high dimensional 3-D joint space into feature spaces where each feature corresponds to the motion of a single joint or combination of related multiple joints. Expand
  • 390
  • 31
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Tracking multiple humans in complex situations
  • Tao Zhao, R. Nevatia
  • Computer Science, Medicine
  • IEEE Transactions on Pattern Analysis and Machine…
  • 1 September 2004
TLDR
We show how multiple human objects are segmented and their global motions are tracked in 3D using ellipsoid human shape models. Expand
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Single View Human Action Recognition using Key Pose Matching and Viterbi Path Searching
  • Fengjun Lv, R. Nevatia
  • Mathematics, Computer Science
  • IEEE Conference on Computer Vision and Pattern…
  • 17 June 2007
TLDR
We present an approach that does not explicitly infer 3D pose at each frame. Expand
  • 466
  • 30
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