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KDD
2004
ACM
103views Data Mining» more  KDD 2004»
14 years 8 months ago
An objective evaluation criterion for clustering
We propose and test an objective criterion for evaluation of clustering performance: How well does a clustering algorithm run on unlabeled data aid a classification algorithm? The...
Arindam Banerjee, John Langford
ICIP
2001
IEEE
14 years 9 months ago
Metrics for performance evaluation of video object segmentation and tracking without ground-truth
We present metrics to evaluate the performance of video object segmentation and tracking methods quantitatively when groundtruth segmentation maps are not available. The proposed ...
Çigdem Eroglu Erdem, Bülent Sankur, A....
ISMAR
2009
IEEE
14 years 2 months ago
A setup for evaluating detectors and descriptors for visual tracking
In many cases, visual tracking is based on detecting, describing, and then matching local features. A variety of algorithms for these steps have been proposed and used in tracking...
Steffen Gauglitz, Tobias Höllerer, Petra Krah...
IVC
2006
171views more  IVC 2006»
13 years 7 months ago
Motion detection and tracking using belief indicators for an automatic visual-surveillance system
A motion detection and tracking algorithm for human and car activity surveillance is presented and evaluated by using the Pets'2000 test sequence. Proposed approach uses a te...
Cina Motamed
ICRA
2005
IEEE
96views Robotics» more  ICRA 2005»
14 years 1 months ago
Robust Real-Time Visual Tracking: Comparison, Theoretical Analysis and Performance Evaluation
— In this paper, two real-time pose tracking algorithms for rigid objects are compared. Both methods are 3D-model based and are capable of calculating the pose between the camera...
Andrew I. Comport, Danica Kragic, Éric Marc...