This survey reviews advances in human motion capture and analysis from 2000 to 2006,
following a previous survey of papers up to 2000 [TB Moeslund, E. Granum, A survey of …

The ℓ 1 tracker obtains robustness by seeking a sparse representation of the tracking object
via ℓ 1 norm minimization. However, the high computational complexity involved in the ℓ 1 …

Tracking multiple humans in complex situations is challenging. The difficulties are tackled
with appropriate knowledge in the form of various models in our approach. Human motion is …

The problem of segmenting individual humans in crowded situations from stationary video
camera sequences is exacerbated by object inter-occlusion. We pose this problem as a" …

Objects in the world exhibit complex interactions. When captured in a video sequence, some
interactions manifest themselves as occlusions. A visual tracking system must be able to …

This paper describes a viewpoint invariant learningbased method for counting people in
crowds from a single camera. Our method takes into account feature normalization to deal …

Tracking of humans in dynamic scenes has been an important topic of research. Most
techniques, however, are limited to situations where humans appear isolated and occlusion …

Visual surveillance using multiple cameras has attracted increasing interest in recent years.
Correspondence between multiple cameras is one of the most important and basic problems …

Distributed smart cameras (DSCs) are real-time distributed embedded systems that perform
computer vision using multiple cameras. This new approach has emerged thanks to a …

A self-calibration method to estimate a camera's intrinsic and extrinsic parameters from
vertical line segments of the same height is presented. An algorithm to obtain the needed …