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» Tracking in a Dense Crowd Using Multiple Cameras
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ISVC
2010
Springer
14 years 10 months ago
Attention-Based Target Localization Using Multiple Instance Learning
Abstract. We propose a novel Multiple Instance Learning (MIL) framework to perform target localization from image sequences. The proposed approach consists of a softmax logistic re...
Karthik Sankaranarayanan, James W. Davis
MVA
2006
110views Computer Vision» more  MVA 2006»
14 years 11 months ago
Tracking the activity of participants in a meeting
A vision system suitable for a smart meeting room able to analyse the activities of its occupants is described. Multiple people were tracked using a particle filter in which sampl...
Hammadi Nait-Charif, Stephen J. McKenna
ICIAP
2005
ACM
15 years 12 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
PCM
2004
Springer
163views Multimedia» more  PCM 2004»
15 years 5 months ago
Sat-Cam: Personal Satellite Virtual Camera
We propose and describe a novel video capturing system called Sat-Cam that can observe and record the users’ activity from effective viewpoints to negate the effects of unstead...
Hansung Kim, Itaru Kitahara, Kiyoshi Kogure, Norih...
CVPR
2012
IEEE
13 years 2 months ago
Detecting regions of interest in dynamic scenes with camera motions
We present a method to detect the regions of interests in moving camera views of dynamic scenes with multiple moving objects. We start by extracting a global motion tendency that ...
Kihwan Kim, Dongryeol Lee, Irfan A. Essa