186 search results - page 18 / 38 » Clustering Moving Objects via Medoid Clusterings |
JMM2
2006
13 years 7 months ago
2006
Change detection by background subtraction is a common approach to detect moving foreground. The resulting difference image is usually thresholded to obtain objects based on pixel ...
ECCV
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. In this paper, we describe an unsupervised learning framework to segment a scene into semantic regions and to build semantic scene models from longterm observations of mo...
ICIP
2007
IEEE
14 years 2 months ago
2007
IEEE
This paper discusses object-based representation of video shots acquired by a moving camera. Our approach uses an extraction of foreground regions capable of representing semantic...
DASFAA
2010
IEEE
14 years 2 months ago
2010
IEEE
Trajectory clustering has played a crucial role in data analysis since it reveals underlying trends of moving objects. Due to their sequential nature, trajectory data are often rec...
CLUSTER
2008
IEEE
14 years 2 months ago
2008
IEEE
—The increasing performance and decreasing cost of processors and memory are causing system intelligence to move from the CPU to peripherals such as disk drives. Storage system d...