ICIP 2010
 

Technical Program

WA.L9: Human Detection and Tracking

Session Type: Lecture
Time: Wednesday, September 29, 10:15 - 13:25
Location: S427
Session Chair: Nilanjan Ray, University of Alberta
 
WA.L9.1: PART-BASED HUMAN DETECTION ON RIEMANNIAN MANIFOLDS
         Diego Tosato; University of Verona
         Michela Farenzena; University of Verona
         Marco Cristani; University of Verona
         Vittorio Murino; University of Verona
 
WA.L9.2: EXTENDED HISTOGRAM OF GRADIENTS FEATURE FOR HUMAN DETECTION
         Amit Satpathy; Nanyang Technological University
         Xudong Jiang; Nanyang Technological University
         How-Lung Eng; Agency for Science, Technology and Research
 
WA.L9.3: IMPROVING PERSON DETECTION USING SYNTHETIC TRAINING DATA
         Jie Yu; Robert Bosch GmbH
         Dirk Farin; Robert Bosch GmbH
         Christof Krueger; Robert Bosch GmbH
         Bernt Schiele; Technische Universität Darmstadt
 
WA.L9.4: CLASSIFICATION OF COMPLEX PEDESTRIAN ACTIVITIES FROM TRAJECTORIES
         Jacinto Nascimento; Instituto de Sistemas e Robótica
         Jorge Marques; Instituto de Sistemas e Robótica
         Mário Figueiredo; Instituto de Telecomunicações
 
Break (30 minutes)
 
WA.L9.5: A HYBRID HUMAN FALL DETECTION SCHEME
         Yie-Tarng Chen; National Taiwan University of Science and Technology
         Yu-Ching Lin; National Taiwan University of Science and Technology
         Wen-Hsien Fang; National Taiwan University of Science and Technology
 
WA.L9.6: AN ADAPTIVE APPROACH FOR OVERLAPPING PEOPLE TRACKING BASED ON FOREGROUND SILHOUETTES
         Hsin-Ho Yeh; Academic Sinica
         Jiun-Yu Chen; Academic Sinica
         Chun-Rong Huang; Academic Sinica
         Chu-Song Chen; Academic Sinica
 
WA.L9.7: MULTI SCALE BLOCK HISTOGRAM OF TEMPLATE FEATURE FOR PEDESTRIAN DETECTION
         Shaopeng Tang; Waseda University
         Satoshi Goto; Waseda University
 
WA.L9.8: PEDESTRIAN DETECTION USING CENTER-SYMMETRIC LOCAL BINARY PATTERNS
         Yongbin Zheng; National University of Defense Technology
         Chunhua Shen; National ICT Australia (NICTA), Canberra Research Laboratory / Australian National University
         Xinsheng Huang; National University of Defense Technology