Title :
Recovering the Topology of Multiple Cameras by Finding Continuous Paths in a Trellis
Author :
Cai, Yinghao ; Huang, Kaiqi ; Tan, Tieniu ; Pietikäinen, Matti
Author_Institution :
Nat. Lab. of Pattern Recognition, Chinese Acad. of Sci., Beijing, China
Abstract :
In this paper, we propose an unsupervised method for recovering the topology of multiple cameras with non-overlapping fields of view. The nodes in the topology graph are defined as entry/exit zones in each camera while the connectivity between nodes is inferred through finding continuous paths in a trellis where appearance information and temporal information of moving objects are encoded. Unlike previous methods which assume a single mode transition distribution between nodes, our method is capable of dealing with multi-modal transition situations when both cars and pedestrians are in the scene. Results on simulated and real-life datasets demonstrate the effectiveness of the proposed method.
Keywords :
graph theory; image motion analysis; image sequences; video cameras; video signal processing; appearance information; continuous path finding; moving object information; multiple camera topology; temporal information; topology graph; trellis path; Cameras; Color; Image color analysis; Network topology; Nickel; Search problems; Topology;
Conference_Titel :
Pattern Recognition (ICPR), 2010 20th International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-7542-1
DOI :
10.1109/ICPR.2010.864