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We describe a system for content-based retrieval from large surveillance video archives, using behavior, action and appearance of objects. Objects are detected, tracked, and classified into broad categories. Their behavior and appearance are characterized by action detectors and descriptors, which are indexed in an archive. Queries can be posed as video exemplars, and the results can be refined through...
To address the ever increasing need and challenges associated with improving the state of Web-based education, a synergistic view of e-learning and intelligent and adaptive tutoring is adapted which is the basic essence of the learner centered adaptive e-learning framework presented in this paper. This framework aims to provide a complete environment of online learning. The conceptual architecture...
We propose a 2D model-based approach for tracking human body parts during articulated motion. A human is modeled as a stick figure with thirteen landmarks, and an action is a sequence of these stick figures. Given the locations of these joints in a model video and only the first frame of a test video, the joint locations are automatically estimated throughout the test video using two geometric constraints...
Beyond third generation (B3G) and fourth generation (4G) communication systems require bandwidth efficiency and low complexity receivers to accommodate high data rate and large number of users per cell. This paper provides the recommendations for why interleave division multiple access (IDMA) stands out among all the present day multiple access systems. Even if IDMA is a special case of code division...
Interleave Division Multiple Access (IDMA) is one of the competitors for next generation wireless systems. IDMA not only inherits all the advantages of CDMA but also has the capability to overcome its deficiencies. In this paper, security analysis of IDMA system has been carried out through NIST tests and it has been found that it is highly secure on its own, not requiring any additional security...
Research shows that most agent-based collaborations suffer from lack of flexibility. This is due to the fact that most agent-based applications assume pre-defined knowledge of agents' capabilities and/or neglect basic cognitive and interactional requirements in multi-agent collaboration. The highlight of this paper is that it brings cognitive models (inspired from cognitive sciences and HCI) proposing...
We present a novel framework for learning patterns of motion and sizes of objects in static camera surveillance. The proposed method provides a new higher-level layer to the traditional surveillance pipeline for anomalous event detection and scene model feedback. Pixel level probability density functions (pdfs) of appearance have been used for background modelling in the past, but modelling pixel...
The paper introduces an action recognition framework that uses concepts from the theory of chaotic systems to model and analyze nonlinear dynamics of human actions. Trajectories of reference joints are used as the representation of the non-linear dynamical system that is generating the action. Each trajectory is then used to reconstruct a phase space of appropriate dimension by employing a delay-embedding...
Distributed collaborative computing services have taken over centralized computing platforms allowing the development of distributed collaborative user applications. These applications enable people and computers to work together more productively. Multi-agent system (MAS) has emerged as a distributed collaborative environment which allows a number of agents to cooperate and interact with each other...
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