Ant algorithms for image feature extraction
(2013)
Journal Article
Mullen, R. J., Monekosso, D. N., & Remagnino, P. (2013). Ant algorithms for image feature extraction. Expert Systems with Applications, 40(11), 4315-4332. https://doi.org/10.1016/j.eswa.2013.01.020
Professor Dorothy Monekosso's Outputs (5)
Data reconciliation in a smart home sensor network (2013)
Journal Article
Monekosso, D. N., & Remagnino, P. (2013). Data reconciliation in a smart home sensor network. Expert Systems with Applications, 40(8), 3248-3255. https://doi.org/10.1016/j.eswa.2012.12.037
Reactive Coordination and Adaptive Lattice Formation in Mobile Robotic Surveillance Swarms (2013)
Presentation / Conference Contribution
Mullen, R. J., Monekosso, D., Barman, S., & Remagnino, P. (2013, December). Reactive Coordination and Adaptive Lattice Formation in Mobile Robotic Surveillance Swarms. Presented at DISTRIBUTED AUTONOMOUS ROBOTIC SYSTEMS Swiss Natl Sci Fdn; Swiss Natl Ctr Competence Res Mobile Informat Commun Syst; Swiss Natl Ctr Competence Res Robot; Inst Environm Engn EPFL; BlueBotics SA; Cyberbotics SarL; GCtronic Sarl; K-Team SA; Skybotix Sarl; I
The Visual Object Tracking VOT2013 challenge results (2013)
Presentation / Conference Contribution
Kristan, M., Pflugfelder, R., Leonardis, A., Matas, J., Porikli, F., Cehovin, L., Nebehay, G., Fernandez, G., Vojir, T., Gatt, A., Khajenezhad, A., Salahledin, A., Soltani-Farani, A., Zarezade, A., Petrosino, A., Milton, A., Bozorgtabar, B., Li, B., Chan, C. S., Heng, C., …Niu, Z. (2013, December). The Visual Object Tracking VOT2013 challenge results. Presented at 2013 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW) IEEE; CVF; IEEE Comp Soc; APRS; Australiasn Natl Univ; NICTA; FACE++; Natl Robot Engn Ctr; Google; Disney Res; nVIDIA; Raytheon BBN Technologies; Facebook; Adobe; Kitware; OMRON; SRI
A particle swarm optimisation algorithm with interactive swarms for tracking multiple targets (2013)
Journal Article
Thida, M., Eng, H.-L., Monekosso, D. N., & Remagnino, P. (2013). A particle swarm optimisation algorithm with interactive swarms for tracking multiple targets. Applied Soft Computing, 13(6), 3106-3117. https://doi.org/10.1016/j.asoc.2012.05.019