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ICIP
2006
IEEE
15 years 11 months ago
A Hierarchical ASM/AAM Approach in a Stochastic Framework for Fully Automatic Tracking and Recognition
This paper deals with the fully automatic extraction of classifiable person features out of a video stream with challenging background. Basically the task can be split in two part...
Andre Störmer, Gerhard Rigoll, Sascha Schreib...
ICPR
2004
IEEE
15 years 10 months ago
Maximizing Validity in 2D Motion Analysis
Classifying and analyzing human motion from a video is relatively common in many areas. Since the motion is carried out in 3D space, the 2D projection provided by a video is somew...
Martin Eriksson, Stefan Carlsson
CVPR
2007
IEEE
15 years 11 months ago
Thermal-Visible Video Fusion for Moving Target Tracking and Pedestrian Classification
The paper presents a fusion-tracker and pedestrian classifier for color and thermal cameras. The tracker builds a background model as a multi-modal distribution of colors and temp...
Alex Leykin, Yang Ran, Riad I. Hammoud
IVC
2008
94views more  IVC 2008»
14 years 9 months ago
Enhanced tracking and recognition of moving objects by reasoning about spatio-temporal continuity
A framework for the logical and statistical analysis and annotation of dynamic scenes containing occlusion and other uncertainties is presented. This framework consists of three e...
Brandon Bennett, Derek R. Magee, Anthony G. Cohn, ...
ECAI
2000
Springer
15 years 2 months ago
Activity Recognition from Video Sequences using Declarative Models
Abstract. We propose here a new approach for video sequence interpretation based on declarative models of activities. The aim of the video sequence interpretation is to recognize i...
Nathanaël Rota, Monique Thonnat