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Thomas Fasciano
Thomas Fasciano
Bestätigte E-Mail-Adresse bei uncc.edu
Titel
Zitiert von
Zitiert von
Jahr
Tracking multiple ants in a colony
T Fasciano, H Nguyen, A Dornhaus, MC Shin
2013 IEEE Workshop on Applications of Computer Vision (WACV), 534-540, 2013
212013
Ant tracking with occlusion tunnels
T Fasciano, A Dornhaus, MC Shin
IEEE Winter Conference on Applications of Computer Vision, 947-952, 2014
142014
Data association based ant tracking with interactive error correction
H Nguyen, T Fasciano, D Charbonneau, A Dornhaus, MC Shin
IEEE Winter Conference on Applications of Computer Vision, 941-946, 2014
82014
ABCTracker: an easy-to-use, cloud-based application for tracking multiple objects
L Rice, S Tate, D Farynyk, J Sun, G Chism, D Charbonneau, T Fasciano, ...
arXiv preprint arXiv:2001.10072, 2020
32020
Multiple insect tracking with occlusion sub-tunnels
T Fasciano, A Dornhausy, MC Shin
2015 IEEE Winter Conference on Applications of Computer Vision, 634-641, 2015
22015
Learning to rank biological motion trajectories
T Fasciano, R Souvenir, MC Shin
Image and Vision Computing 31 (6-7), 502-510, 2013
12013
Using occlusion to track multiple objects with similar appearance
T Fasciano
The University of North Carolina at Charlotte, 2015
2015
Trajectory Matching Using Biologically-relevant Constraints
TW Fasciano
University of North Carolina at Charlotte, 2011
2011
Tracking Ants Through Occlusions
T Fasciano, H Nguyen, A Dornhaus, MC Shin
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