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MVA
1996
164views Computer Vision» more  MVA 1996»
13 years 6 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
JMM2
2007
212views more  JMM2 2007»
13 years 4 months ago
Flux Tensor Constrained Geodesic Active Contours with Sensor Fusion for Persistent Object Tracking
— This paper makes new contributions in motion detection, object segmentation and trajectory estimation to create a successful object tracking system. A new efficient motion det...
Filiz Bunyak, Kannappan Palaniappan, Sumit Kumar N...
ACCV
2006
Springer
13 years 11 months ago
Minimal Weighted Local Variance as Edge Detector for Active Contour Models
Performing segmentation of narrow, elongated structures with low contrast boundaries is a challenging problem. Boundaries of these structures are difficult to be located when noise...
Max W. K. Law, Albert C. S. Chung
TSP
2010
12 years 11 months ago
Bayesian multi-object filtering with amplitude feature likelihood for unknown object SNR
In many tracking scenarios, the amplitude of target returns are stronger than those coming from false alarms. This information can be used to improve the multi-target state estimat...
Daniel Clark, Branko Ristic, Ba-Ngu Vo, Ba-Tuong V...
MVA
1990
114views Computer Vision» more  MVA 1990»
13 years 6 months ago
Radar Image Processing for Locating Underground Linear Objects
This paper presents an image processing method for locating underground linear objects using ground-probing radar data. One of the problems when using groundprobing radars is how ...
Toru Kaneko