Abstract. Reliable object detection and segmentation is crucial for active safety driver assistance applications. In urban areas where the object density is high, a segmentation ba...
Nico Kaempchen, Markus Zocholl, Klaus C. J. Dietma...
Efficient and expressive comparison of sequences is an essential procedure for learning with sequential data. In this article we propose a generic framework for computation of sim...
Kernel functions as similarity measures for sequential data have been extensively studied in previous research. This contribution addresses the efficient computation of distance fu...
In this paper, we tackle the problem of matching of objects in video in the context of the rough indexing paradigm. The approach developed is based on matching of region adjacency...
F. Chevalier, Jean-Philippe Domenger, Jenny Benois...
This paper presents a novel framework for matching video sequences using the spatiotemporal segmentation of videos. Instead of using appearance features for region correspondence ...