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» Video summarization using motion descriptors
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MMS
2006
13 years 7 months ago
View-invariant motion trajectory-based activity classification and recognition
Motion trajectories provide rich spatio-temporal information about an object's activity. The trajectory information can be obtained using a tracking algorithm on data streams ...
Faisal I. Bashir, Ashfaq A. Khokhar, Dan Schonfeld
ECCV
2008
Springer
14 years 9 months ago
Finding Actions Using Shape Flows
Abstract. We propose a novel method for action detection based on a new action descriptor called a shape flow that represents both the shape and movement of an object in a holistic...
Hao Jiang, David R. Martin
PR
2007
143views more  PR 2007»
13 years 7 months ago
Shadow resistant tracking using inertia constraints
In this paper, we present a new method for tracking objects with shadows. Traditional motion-based tracking schemes cannot usually distinguish the shadow from the object itself, a...
Hao Jiang, Mark S. Drew
CVPR
2012
IEEE
11 years 10 months ago
Nonparametric discovery of activity patterns from video collections
We propose a nonparametric framework based on the beta process for discovering temporal patterns within a heterogenous video collection. Starting from quantized local motion descr...
Michael C. Hughes, Erik B. Sudderth
MM
2009
ACM
144views Multimedia» more  MM 2009»
14 years 2 months ago
An interactive and multi-level framework for summarising user generated videos
We present an interactive and multi-level abstraction framework for user-generated video (UGV) summarisation, allowing a user the flexibility to select a summarisation criterion ...
Saman Cooray, Hervé Bredin, Li-Qun Xu, Noel...