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Evaluation of Local Spatio-temporal Features for Action Recognition
Local space-time features have recently become a popular video representation for action recognition. Several methods for feature localization and description have been proposed in the literature andExpand
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Towards robust place recognition for robot localization
Localization and context interpretation are two key competences for mobile robot systems. Visual place recognition, as opposed to purely geometrical models, holds promise of higher flexibility andExpand
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Improving bag-of-features action recognition with non-local cues
Local space-time features have recently shown promising results within Bag-of-Features (BoF) approach to action recognition in video. Pure local features and descriptors, however, provide onlyExpand
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Actlets: A novel local representation for human action recognition in video
  • M. M. Ullah, I. Laptev
  • Computer Science
  • 19th IEEE International Conference on Image…
  • 1 September 2012
This paper addresses the problem of human action recognition in realistic videos. We follow the recently successful local approaches and represent videos by means of local motion descriptors. ToExpand
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Classification and Temporal Localization of Robbery Events in CCTV Videos through Multi-Stream Deep Networks
Robbery is an open social problem. Towards tackling this problem, we in this paper propose multi-stream deep networks for the classification as well as temporal localization of robbery events in CCTVExpand
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The COLD Database
Reference LIDIAP-REPORT-2007-031 URL: http://publications.idiap.ch/downloads/reports/2007/ullah-idiap-rr-07-49.pdf Record created on 2010-02-11, modified on 2017-05-10
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You live, you learn, you forget: Continuous learning of visual places with a forgetting mechanism
To fulfill the dream of having autonomous robots at home, there is a need for spatial representations augmented with semantic concepts. Vision has emerged recently as the key modality to recognizeExpand
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Delay-Efficient Forwarding in SDN Assisted Mesh Networks: An Application of Shapley Value
The use of Software Defined network (SDN) as a key future Internet communications paradigm has great potential to enable efficient network communication. One of the key challenges for SDNs is toExpand
LOCAL AND DEEP FEATURES FOR ROBUST VISUAL INDOOR PLACE RECOGNITION
This study focuses on the area of visual indoor place recognition (e.g., in an office setting, automatically recognizing different places, such as offices, corridor, wash room, etc.). The potentialExpand