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DICTA
2007
15 years 8 months ago
Tracking with Multiple Cameras for Video Surveillance
The large shape variability and partial occlusions challenge most object detection and tracking methods for nonrigid targets such as pedestrians. Single camera tracking is limited...
Manas Kamal Bhuyan, Brian C. Lovell, Abbas Bigdeli
161
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SDM
2008
SIAM
129views Data Mining» more  SDM 2008»
15 years 8 months ago
Statistical Density Prediction in Traffic Networks
Recently, modern tracking methods started to allow capturing the position of massive numbers of moving objects. Given this information, it is possible to analyze and predict the t...
Hans-Peter Kriegel, Matthias Renz, Matthias Schube...
MVA
1996
164views Computer Vision» more  MVA 1996»
15 years 8 months ago
3D Data Driven Prediction for Active Contour Models with Application to Car Tracking
In this paper we apply a new data driven 3D prediction step for active contour models to car tracking on highways. The so called 3D bounding volume (BV) is a coarse 3D representat...
Joachim Denzler, Heinrich Niemann
TOG
2008
926views more  TOG 2008»
15 years 6 months ago
3D-modeling by ortho-image generation from image sequences
A semi-automatic approach is presented that enables the generation of a high-quality 3D model of a static object from an image sequence that was taken by a moving, uncalibrated co...
Thorsten Thormählen, Hans-Peter Seidel
TSP
2008
131views more  TSP 2008»
15 years 6 months ago
Smart Sleeping Policies for Energy Efficient Tracking in Sensor Networks
We study the problem of tracking an object that is moving randomly through a dense network of wireless sensors. We assume that each sensor has a limited range for detecting the pr...
Jason A. Fuemmeler, Venugopal V. Veeravalli