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CVPR
2009
IEEE
16 years 8 months ago
Observe Locally, Infer Globally: a Space-Time MRF for Detecting Abnormal Activities with Incremental Updates
We propose a space-time Markov Random Field (MRF) model to detect abnormal activities in video. The nodes in the MRF graph correspond to a grid of local regions in the video fra...
Jaechul Kim (University of Texas at Austin), Krist...
ISLPED
2009
ACM
125views Hardware» more  ISLPED 2009»
15 years 7 months ago
Behavior-level observability don't-cares and application to low-power behavioral synthesis
Many techniques for power management employed in advanced RTL synthesis tools rely explicitly or implicitly on observability don’t-care (ODC) conditions. In this paper we presen...
Jason Cong, Bin Liu, Zhiru Zhang
CORR
2008
Springer
179views Education» more  CORR 2008»
15 years 1 months ago
Distributed Parameter Estimation in Sensor Networks: Nonlinear Observation Models and Imperfect Communication
The paper studies the problem of distributed static parameter (vector) estimation in sensor networks with nonlinear observation models and imperfect inter-sensor communication. We...
Soummya Kar, José M. F. Moura, Kavita Raman...
NIPS
2003
15 years 2 months ago
Denoising and Untangling Graphs Using Degree Priors
This paper addresses the problem of untangling hidden graphs from a set of noisy detections of undirected edges. We present a model of the generation of the observed graph that in...
Quaid Morris, Brendan J. Frey
CVPR
2007
IEEE
15 years 5 months ago
Inferring 3D Volumetric Shape of Both Moving Objects and Static Background Observed by a Moving Camera
We present a novel approach to inferring 3D volumetric shape of both moving objects and static background from video sequences shot by a moving camera, with the assumption that th...
Chang Yuan, Gérard G. Medioni