Regions of interest for accurate object detection

P. Kapsalas, K. Rapantzikos, A. Sofou, Y. Avrithis
2008 2008 International Workshop on Content-Based Multimedia Indexing  
In this paper we propose an object detection approach that extracts a limited number of candidate local regions to guide the detection process. The basic idea of the approach is that object location can be determined by clustering points of interest and hierarchically forming candidate regions according to similarity and spatial proximity predicates. Statistical validation shows that the method is robust across a substantial range of content diversity while its response seems to be comparable to other state of the art object detectors.
doi:10.1109/cbmi.2008.4564940 dblp:conf/cbmi/KapsalasRSA08 fatcat:fmrcv72x4jdezipsxhobxu5o3m