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ICCV
2009
IEEE
2030views Computer Vision» more  ICCV 2009»
16 years 3 months ago
Robust Tracking-by-Detection using a Detector Confidence Particle Filter
We propose a novel approach for multi-person trackingby- detection in a particle filtering framework. In addition to final high-confidence detections, our algorithm uses the con...
Michael D. Breitenstein, Fabian Reichlin, Bastian ...
ISVC
2010
Springer
14 years 8 months ago
A Spatio-Spectral Algorithm for Robust and Scalable Object Tracking in Videos
Abstract. In this work we propose a mechanism which looks at processing the low-level visual information present in video frames and prepares mid-level tracking trajectories of obj...
Alireza Tavakkoli, Mircea Nicolescu, George Bebis
ICIP
2002
IEEE
15 years 12 months ago
Template tracking using color invariant pixel features
In our method for tracking objects, appearance features are smoothed by robust and adaptive Kalman filters, one to each pixel, making the method robust against occlusions. While t...
Hieu Tat Nguyen, Arnold W. M. Smeulders
CVPR
2009
IEEE
1413views Computer Vision» more  CVPR 2009»
16 years 5 months ago
Learning Semantic Scene Models by Object Classification and Trajectory Clustering
The visual surveillance task is to monitor the activity of objects in a scene. In far-field settings (i.e., wide outdoor areas), the majority of visible activities are objects movi...
Hanqing Lu, Stan Z. Li, Tianzhu Zhang
65
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CVPR
2007
IEEE
16 years 11 days ago
On-the-fly Object Modeling while Tracking
To implement a persistent tracker, we build a set of viewdependent object appearance models adaptively and automatically while tracking an object under different viewing angles. T...
Zhaozheng Yin, Robert T. Collins