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» DOEF: A Dynamic Object Evaluation Framework
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ICRA
2008
IEEE
229views Robotics» more  ICRA 2008»
15 years 3 months ago
Learning of moving cast shadows for dynamic environments
Abstract— We propose a novel online framework for detecting moving shadows in video sequences using statistical learning techniques. In this framework, Support Vector Machines ar...
Ajay J. Joshi, Nikolaos Papanikolopoulos
INFOCOM
2012
IEEE
12 years 12 months ago
Comparing alternative approaches for networking of named objects in the future Internet
Abstract—This paper describes and compares alternative architectures for achieving the functional goals of name oriented networking. The CCN (content-centric network) scheme prop...
Akash Baid, Tam Vu, Dipankar Raychaudhuri
ICIP
2006
IEEE
15 years 11 months ago
Robust Kernel-Based Tracking using Optimal Control
Although more efficient in computation compared to other tracking approaches such as particle filtering, the kernel-based tracking suffers from the "singularity" problem...
Wei Qu, Dan Schonfeld
CVPR
2009
IEEE
16 years 4 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...
ICIP
2005
IEEE
15 years 11 months ago
A dynamic Bezier curve model
Bezier curves (BC) are fundamental to a wide range of applications from computer-aided design through to object shape descriptions and surface mapping. Since BC only consider glob...
Ferdous Ahmed Sohel, Laurence S. Dooley, Gour C. K...