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» Selection and context for action recognition
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CVPR
2009
IEEE
16 years 4 months ago
Dense saliency-based spatiotemporal feature points for action recognition
Several spatiotemporal feature point detectors have been recently used in video analysis for action recognition. Feature points are detected using a number of measures, namely sali...
Konstantinos Rapantzikos, Stefanos D. Kollias, Yan...
NPC
2004
Springer
15 years 3 months ago
LEAPS: A Location Estimation and Action Prediction System in a Wireless LAN Environment
Abstract. Location estimation and user behavior recognition are research issues that go hand in hand. In the past, these two issues have been investigated separately. In this paper...
Qiang Yang, Yiqiang Chen, Jie Yin, Xiaoyong Chai
CVPR
2009
IEEE
16 years 4 months ago
Recognising Action as Clouds of Space-Time Interest Points
Much of recent action recognition research is based on space-time interest points extracted from video using a Bag of Words (BOW) representation. It mainly relies on the discrimi...
Matteo Bregonzio (Queen Mary, University of London...
CVPR
2011
IEEE
14 years 5 months ago
Learning Context for Collective Activity Recognition
In this paper we present a framework for the recognition of collective human activities. A collective activity is defined or reinforced by the existence of coherent behavior of i...
Wongun Choi, Silvio Savarese, Khuram Shahid
JAISE
2010
182views Algorithms» more  JAISE 2010»
14 years 4 months ago
Exploring semantics in activity recognition using context lattices
Studying human activities has significant implication in human beneficial applications such as personal healthcare. This research has been facilitated by the development of sensor ...
Juan Ye, Simon Dobson