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» Using Histograms to Detect and Track Objects in Color Video
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ICIP
2005
IEEE
14 years 9 months ago
Flame detection in video using hidden Markov models
This paper proposes a novel method to detect flames in video by processing the data generated by an ordinary camera monitoring a scene. In addition to ordinary motion and color cl...
A. Enis Çetin, B. Ugur Töreyin, Yigith...
CVPR
2007
IEEE
14 years 9 months ago
Closed-Loop Tracking and Change Detection in Multi-Activity Sequences
We present a novel framework for tracking of a long sequence of human activities, including the time instances of change from one activity to the next, using a closed-loop, non-li...
Bi Song, Namrata Vaswani, Amit K. Roy Chowdhury
TCSV
2008
107views more  TCSV 2008»
13 years 7 months ago
Person Surveillance Using Visual and Infrared Imagery
This paper presents a methodology for analyzing multimodal and multiperspective systems for person surveillance. Using an experimental testbed consisting of two color and two infra...
Stephen J. Krotosky, Mohan M. Trivedi
ICPR
2000
IEEE
14 years 8 months ago
Detecting and Tracking Human Faces in Videos
A method for detecting and tracking human faces in color videos is presented. The method first uses a chroma chart with information about skin colors of various races to determine...
Yadong Li, A. Ardeshir Goshtasby, Oscar N. Garcia
CLEAR
2007
Springer
180views Biometrics» more  CLEAR 2007»
14 years 1 months ago
Joint Bayesian Tracking of Head Location and Pose from Low-Resolution Video
Abstract. This paper presents a visual particle filter for jointly tracking the position of a person and her head pose. The resulting information may be used to support automatic ...
Oswald Lanz, Roberto Brunelli