L. Sigal

Publications
Influence

HumanEva: Synchronized Video and Motion Capture Dataset and Baseline Algorithm for Evaluation of Articulated Human Motion

L. Sigal, A. Balan, Michael J. Black
Computer Science
International Journal of Computer Vision
1 March 2010

We present data obtained using a hardware system that is able to capture synchronized video and ground-truth 3D motion. Expand

HumanEva: Synchronized Video and Motion Capture Dataset for Evaluation of Articulated Human Motion

L. Sigal, Michael J. Black
Computer Science
2006

In this report we present a novel dataset obtained using a unique setup for capturing synchronized video and ground-truth 3D motion. Expand

A Quantitative Evaluation of Video-based 3D Person Tracking

A. Bălan, L. Sigal, Michael J. Black
Computer Science
IEEE International Workshop on Visual…
15 October 2005

The Bayesian estimation of 3D human motion from video sequences is quantitatively evaluated using synchronized, multi-camera, calibrated video and 3D ground truth poses acquired with a commercial motion capture system. Expand

Tracking loose-limbed people

L. Sigal, S. Bhatia, S. Roth, Michael J. Black, M. Isard
Computer Science
Proceedings of the IEEE Computer Society…
2004

We pose the problem of 3D human tracking as one of inference in a graphical model. Expand

Learning Activity Progression in LSTMs for Activity Detection and Early Detection

Shugao Ma, L. Sigal, S. Sclaroff
Computer Science
IEEE Conference on Computer Vision and Pattern…
27 June 2016

In this work we improve training of temporal deep models to better learn activity progression for activity detection and early detection tasks. Expand

Implicit Probabilistic Models of Human Motion for Synthesis and Tracking

H. Kjellström, Michael J. Black, L. Sigal
Computer Science
ECCV
28 May 2002

This paper addresses the problem of probabilistically modeling 3D human motion for synthesis and tracking. Expand

Measure Locally, Reason Globally: Occlusion-sensitive Articulated Pose Estimation

L. Sigal, Michael J. Black
Mathematics, Computer Science
IEEE Computer Society Conference on Computer…
17 June 2006

We introduce a novel approach for articulated 2D body pose estimation that uses occlusion-sensitive local image likelihoods that approximate the global image likelihood by accounting for occlusions and do a quantitatively better job of explaining image evidence. Expand

Detailed Human Shape and Pose from Images

A. Balan, L. Sigal, Michael J. Black, James E. Davis, H. Haussecker
Computer Science
IEEE Conference on Computer Vision and Pattern…
17 June 2007

We address the problem of markerless human shape and pose capture from multi-camera video sequences using a richly detailed graphics model of 3D human shape that is learned from a database of range scans of human bodies. Expand

High-Dimensional Feature Selection by Feature-Wise Kernelized Lasso

M. Yamada, Wittawat Jitkrittum, L. Sigal, E. Xing, Masashi Sugiyama
Computer Science, Medicine
Neural Computation
2 February 2012

The least absolute shrinkage and selection operator (Lasso) allows computationally efficient feature selection based on linear dependency between input features and output values. Expand

Skin color-based video segmentation under time-varying illumination

L. Sigal, S. Sclaroff, V. Athitsos
Medicine, Computer Science
IEEE Transactions on Pattern Analysis and Machine…
1 July 2004

A novel approach for real-time skin color segmentation in video sequences is described. Expand

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