Title
Active Method for Mobile Object Detection from an Embedded Camera, Based on a Contrario Clustering
Abstract
This paper concerns the detection and the tracking of moving objects from images acquired by a single camera Embedded on a mobile robot. The proposed approach is based on the active extraction of salient features, feature tracking on some images, feature clustering as a way to detect moving objects.
Year
DOI
Keywords
2010
10.1007/978-3-642-19539-6_18
moving obstacles,detection,tracking,monocular vision.,clustering
DocType
Citations 
PageRank 
Conference
2
0.38
References 
Authors
8
3
Name
Order
Citations
PageRank
Dora Luz Almanza-Ojeda1145.81
Michel Devy254271.47
Ariane Herbulot3497.28