Sciweavers

21 search results - page 2 / 5
» Unsupervised Bayesian Detection of Independent Motion in Cro...
Sort
View
ICPR
2010
IEEE
13 years 2 months ago
Online Learning with Self-Organizing Maps for Anomaly Detection in Crowd Scenes
Detecting abnormal behaviors in crowd scenes is quite important for public security and has been paid more and more attentions. Most previous methods use offline trained model to p...
Jie Feng, Chao Zhang, Pengwei Hao
IROS
2006
IEEE
204views Robotics» more  IROS 2006»
13 years 10 months ago
Distributed Sensing and Prediction of Obstacle Motions for Mobile Robot Motion Planning
— This work recommends an architecture and its fundamental components for motion planning for mobile robots in dynamic environments. An adaptive behavior to typical motion patter...
Thorsten Rennekamp, Kai Homeier, Torsten Kroeger
ICASSP
2011
IEEE
12 years 8 months ago
Abnormal motion detection in crowded scenes using local spatio-temporal analysis
We present a motion classification approach to detect movements of interest (abnormal motion) based on local feature modeling within spatio-temporal detectors. The modeling is pe...
Fahad Daniyal, Andrea Cavallaro
ICPR
2008
IEEE
14 years 5 months ago
Learning motion patterns in crowded scenes using motion flow field
Learning typical motion patterns or activities from videos of crowded scenes is an important visual surveillance problem. To detect typical motion patterns in crowded scenarios, w...
Min Hu, Mubarak Shah, Saad Ali
ICIP
2004
IEEE
14 years 6 months ago
Unsupervised motion detection using a markovian temporal model with global spatial constraints
In this work, we propose an unsupervised Bayesian model for the detection of moving objects from dynamic scenes. This unsupervised solution is a three-step approach that uses a st...
Pierre-Marc Jodoin, Max Mignotte