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JUCS
2010

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A General Framework for Multi-Human Tracking using Kalman Filter and Fast Mean Shift Algorithms

13 years 11 months ago

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: The task of reliable detection and tracking of multiple objects becomes highly complex for crowded scenarios. In this paper, a robust framework is presented for multi-Human track...

Ahmed Ali, Kenji Terada

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Id	Views	Title	Status

1	265	A General Framework for Multi-Human Tracking using Kalman Filter and Fast Mean Shift Algorithms	claim
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56	135	Web Context Classification Based on Information Quality Factors	claim
57	135	Internal Representation of Database Views	claim
58	135	Model-driven Transformation and Validation of Adaptive Educational Hypermedia using CAVIAr	claim
59	134	Track-To-Track Measurement Fusion Architectures and Correlation Analysis	claim
60	134	Newton Method for Nonlinear Dynamic Systems with Adaptive Time Stepping	claim
61	134	Leveraging ICT Deployment and Integration in a Public Organization Aged 176 Years A Greek Case Study	claim
62	134	Systematic Management of Variability in UML-based Software Product Lines	claim
63	133	Knowledge Authoring with ORE: Testing, Debugging and Validating Knowledge Rules in a Semantic Web Framework	claim
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103	107	Mobile Intelligence	claim
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105	107	Algebras and Update Strategies	claim
106	106	Near Eyes-Free Chauffeur Computer Interaction with Chording and Visual Text Mnemonics	claim
107	106	Situational Method Engineering: State-of-the-Art Review	claim
108	106	Integration of Similar Evolving Data Sources for Supporting Decision Making Tasks	claim
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110	106	A Heuristic Approach to Positive Root Isolation for Multiple Power Sums	claim
111	105	Ordered Catenation Closures and Decompositions of Languages Related to a Language of Derick Wood	claim
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121	97	Supporting Mobile Users in Selecting Target Devices	claim
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129	92	Collective Intelligence with Visualization and Multimedia	claim
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139	64	Selection among Renewable Energy Alternatives Using Fuzzy Axiomatic Design: The Case of Turkey	claim

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