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TP-P1: Video Object Segmentation and Tracking

Session Type: Poster

Time: Tuesday, October 10, 14:20 - 17:20

Location: International South

Chair: Fatih Porikli, MERL, USA

TP-P1.1: ESTABLISHING OBJECT CORRESPONDENCES BY UTILIZING SURROUNDING INFORMATION

Huihai Lu; University of Essex

Mohammed Ghanbari; University of Essex

John C. Woods; University of Essex

TP-P1.2: A BACKGROUND SUBTRACTION MODEL ADAPTED TO ILLUMINATION CHANGES

Julio Jacques Jr.; Universidade do Vale do Rio dos Sinos

Claudio Jung; Universidade do Vale do Rio dos Sinos

Soraia Musse; Universidade do Vale do Rio dos Sinos

TP-P1.3: VIDEO OBJECT SEGMENTATION USING KERNEL-BASED MODELS AND SPATIOTEMPORAL SIMILARITY

JunWei Hsieh; Yuan Ze university

Jun-Xian Lee; Yuan Ze University

TP-P1.4: UNSUPERVISED SEGMENTATION OF DEFOCUSED VIDEO BASED ON MATTING MODEL

Hongliang Li; The Chinese University of Hong Kong

King Ngi Ngan; The Chinese University of Hong Kong

TP-P1.5: BACKGROUND ESTIMATION AND ADAPTATION MODEL WITH LIGHT-CHANGE REMOVAL FOR HEAVILY DOWN-SAMPLED VIDEO SURVEILLANCE SIGNALS

Sascha Cvetkovic; Bosch Security Systems

Peter Bakker; Bosch Security Systems

Johan Schirris; Bosch Security Systems

Peter H.N. de With; University of Technology Eindhoven / LogicaCMG

TP-P1.6: FAST ROBUST EIGEN-BACKGROUND UPDATING FOR FOREGROUND DETECTION

Ruonan Li; Tsinghua University

Yu Chen; Tsinghua University

Xudong Zhang; Tsinghua University

TP-P1.7: AN EFFICIENT REAL-TIME VIDEO OBJECT SEGMENTATION ALGORITHM BASED ON CHANGE DETECTION AND BACKGROUND UPDATING

Thou-Ho (Chao-Ho) Chen; National Kaohsiung University of Applied Sciennces

Tsong-Yi Chen; National Kaohsiung University of Applied Sciennces

Yung-Chuen Chiou; National Kaohsiung University of Applied Sciennces

TP-P1.8: AUTOMATIC CLUSTERING OF FACES IN MEETINGS

Carlos Vallespi; Carnegie Mellon University

Fernando De la Torre; Carnegie Mellon University

Manuela Veloso; Carnegie Mellon University

Takeo Kanade; Carnegie Mellon University

TP-P1.9: A HUMAN MODEL FOR DETECTING PEOPLE IN VIDEO FROM LOW LEVEL FEATURES

Sebastien Harasse; Laboratoire des Images et des Signaux

Laurent Bonnaud; Laboratoire des Images et des Signaux

Michel Desvignes; Laboratoire des Images et des Signaux

TP-P1.10: HIERARCHICAL DATA STRUCTURE FOR REAL-TIME BACKGROUND SUBTRACTION

Johnny Park; Purdue University

Amy Tabb; Purdue University

Avinash Kak; Purdue University

TP-P1.11: ROBUST MOTION-BASED SEGMENTATION IN VIDEO SEQUENCES USING ENTROPY ESTIMATOR

Ariane Herbulot; Laboratoire I3S

Sylvain Boltz; Laboratoire I3S

Eric Debreuve; Laboratoire I3S

Michel Barlaud; Laboratoire I3S

TP-P1.12: MIXED-STATE MARKOV RANDOM FIELDS FOR MOTION TEXTURE MODELING AND SEGMENTATION

Tomas Crivelli; UBA

Bruno Cernuschi-Frias; UBA

Patrick Bouthemy; IRISA / INRIA

Jian-Feng Yao; IRMAR / University of Rennes 1