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» Clustering Objects on a Spatial Network
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ICMCS
2009
IEEE
219views Multimedia» more  ICMCS 2009»
14 years 9 months ago
Moving targets labeling and correspondence over multi-camera surveillance system based on Markov network
In this paper, we propose an efficient way to simultaneously label and map targets over a multi-camera surveillance system. In the system, we first fuse the detection results from...
Chingchun Huang, Sheng-Jyh Wang
GIS
2009
ACM
16 years 7 days ago
Map Matching and Uncertainty: an Algorithm and Real-World Experiments
A common problem in moving object databases (MOD) is the reconstruction of a trajectory from a trajectory sample (i.e., a finite sequence of time-space points). A typical solution...
Alejandro A. Vaisman, Bart Kuijpers, Bart Moelans,...
CVPR
2009
IEEE
15 years 6 months ago
Learning multi-modal densities on Discriminative Temporal Interaction Manifold for group activity recognition
While video-based activity analysis and recognition has received much attention, existing body of work mostly deals with single object/person case. Coordinated multi-object activi...
Ruonan Li, Rama Chellappa, Shaohua Kevin Zhou
AAAI
2008
15 years 1 months ago
Reasoning with Cardinal Directions: An Efficient Algorithm
Direction relations between extended spatial objects are important commonsense knowledge. Recently, Goyal and Egenhofer proposed a formal model, called Cardinal Direction Calculus...
Xiaotong Zhang, Weiming Liu, Sanjiang Li, Mingshen...
TON
2010
126views more  TON 2010»
14 years 5 months ago
MAC Scheduling With Low Overheads by Learning Neighborhood Contention Patterns
Aggregate traffic loads and topology in multi-hop wireless networks may vary slowly, permitting MAC protocols to `learn' how to spatially coordinate and adapt contention patte...
Yung Yi, Gustavo de Veciana, Sanjay Shakkottai