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» A Framework for Representing Moving Objects
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CVPR
2007
IEEE
15 years 11 months ago
Online Detection of Fire in Video
This paper describes an online learning based method to detect flames in video by processing the data generated by an ordinary camera monitoring a scene. Our fire detection method...
A. Enis Çetin, B. Ugur Töreyin
CVPR
2008
IEEE
15 years 11 months ago
Drift-free tracking of rigid and articulated objects
Model-based 3D tracker estimate the position, rotation, and joint angles of a given model from video data of one or multiple cameras. They often rely on image features that are tr...
Juergen Gall, Bodo Rosenhahn, Hans-Peter Seidel
ICIP
2005
IEEE
15 years 11 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...
EDBT
2011
ACM
225views Database» more  EDBT 2011»
14 years 1 months ago
SeMiTri: a framework for semantic annotation of heterogeneous trajectories
GPS devices allow recording the movement track of the moving object they are attached to. This data typically consists of a stream of spatio-temporal (x,y,t) points. For applicati...
Zhixian Yan, Dipanjan Chakraborty, Christine Paren...
ICIAP
2005
ACM
15 years 9 months ago
Track Matching by Major Color Histograms Matching and Post-matching Integration
Abstract. In this paper we present a track matching algorithm based on the "major color" histograms matching and the post-matching integration useful for tracking a singl...
Eric Dahai Cheng, Massimo Piccardi