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CVIU
2004
115views more  CVIU 2004»
13 years 7 months ago
Dynamic learning from multiple examples for semantic object segmentation and search
We present a novel ``dynamic learning'' approach for an intelligent image database system to automatically improve object segmentation and labeling without user interven...
Yaowu Xu, Eli Saber, A. Murat Tekalp
ECCV
2006
Springer
13 years 9 months ago
Robust Head Tracking with Particles Based on Multiple Cues Fusion
This paper presents a fully automatic and highly robust head tracking algorithm based on the latest advances in real-time multi-view face detection techniques and multiple cues fus...
Yuan Li, Haizhou Ai, Chang Huang, Shihong Lao
ICRA
2007
IEEE
201views Robotics» more  ICRA 2007»
14 years 1 months ago
Realtime and Robust Motion Tracking by Matched Filter on CMOS+FPGA Vision System
— This paper describes realtime and robust tracking of a planar motion target by matched filter implemented on the CMOS+FPGA vision system. It is required to obtain positional a...
Kazuhiro Shimizu, Shinichi Hirai
CVPR
2008
IEEE
14 years 9 months ago
Face tracking and recognition with visual constraints in real-world videos
We address the problem of tracking and recognizing faces in real-world, noisy videos. We track faces using a tracker that adaptively builds a target model reflecting changes in ap...
Minyoung Kim, Sanjiv Kumar, Vladimir Pavlovic, Hen...
CVPR
2009
IEEE
15 years 2 months ago
Memory-based particle filter for face pose tracking robust under complex dynamics
A novel particle filter, the Memory-based Particle Filter (M-PF), is proposed that can visually track moving objects that have complex dynamics. We aim to realize robustness aga...
Dan Mikami (NTT), Kazuhiro Otsuka (NTT), Junji YAM...