Title :
Obstacle detection based on color blob flow
Author :
Heisele, B. ; Ritter, W.
Author_Institution :
Daimler-Benz AG, Ulm, Germany
Abstract :
In this paper we present a new robust approach to extract moving objects in traffic scenes. It allows moving obstacles (cars, motorcycles, ...) to be detected from a moving car without any a priori information about the shape or location of these moving objects. This technique is based on the concept of tracking color blobs in image sequences
Keywords :
image sequences; motion estimation; object detection; target tracking; traffic engineering computing; color blob flow; color blobs tracking; image sequences; moving object extraction; obstacle detection; traffic scenes; Computer vision; Image color analysis; Image motion analysis; Image segmentation; Layout; Motion segmentation; Motorcycles; Optical computing; Robustness; Shape;
Conference_Titel :
Intelligent Vehicles '95 Symposium., Proceedings of the
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-2983-X
DOI :
10.1109/IVS.1995.528294
