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» Tracking in a Dense Crowd Using Multiple Cameras
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ISVC
2010
Springer
13 years 6 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»
13 years 7 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
14 years 7 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»
14 years 1 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
11 years 10 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