Print Email Facebook Twitter Multi-feature fusion for surveillance video indexing Part of: WIAMIS 2011: 12th International Workshop on Image Analysis for Multimedia Interactive Services· list the conference papers Title Multi-feature fusion for surveillance video indexing Author Fernandez Arguedas, V. Zhang, Q. Chandramouli, K. Izquierdo, E. Date 2011-04-13 Abstract In this paper, we present a part of surveillance centric indexing framework aimed at studying the performance of multi-feature fusion technique for indexing objects from surveillance videos. The multi-feature fusion algorithm determines an optimal metric for fusing low-level descriptors extracted from different feature space. These low-level descriptors exhibit a non-linear behaviour and typically consist of different similarity metrics. The framework also includes a motion analysis component for the extraction of objects as blobs from individual frames. The proposed framework, in particular the multi-feature fusion algorithm is evaluated against kernel machines for indexing objects such as car and person on AVSS 2007 surveillance dataset. To reference this document use: http://resolver.tudelft.nl/uuid:99338628-4ea5-476c-8669-b0a43faeeeb9 Part of collection Conference proceedings Document type conference paper Rights (c) 2011 Fernandez Arguedas, V.; Zhang, Q.; Chandramouli, K.; Izquierdo, E. Files PDF 37.pdf 285.89 KB Close viewer /islandora/object/uuid:99338628-4ea5-476c-8669-b0a43faeeeb9/datastream/OBJ/view