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Kintense: A Robust, Accurate, Real-Time and Evolving System for Detecting Aggressive Actions from Streaming 3D Skeleton Data

机译：Kintense：一种健壮，准确，实时且不断发展的系统，用于从流3D骨架数据中检测攻击性动作

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Shahriar Nirjon; Chris Greenwood; Carlos Torres; Stefanie Zhou; John A. Stankovic; Hee Jung Yoon; Ho-kyeong Ra; Can Basaran; Taejoon Park; Sang H. Son;
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年度 2014
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2. Real-Time Arm Gesture Recognition Using 3D Skeleton Joint Data [J] . Georgios Paraskevopoulos, Evaggelos Spyrou, Dimitrios Sgouropoulos, Algorithms . 2019,第5期

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3. An Approach to Automatic Real-Time Novelty Detection, Object Identification, and Tracking in Video Streams Based on Recursive Density Estimation and Evolving Takagi-Sugeno Fuzzy Systems [J] . Plamen Angelov, Pouria Sadeghi-Tehran, Ramin Ramezani International Journal of Intelligent Systems . 2011,第3期

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4. Kintense: A robust, accurate, real-time and evolving system for detecting aggressive actions from streaming 3D skeleton data [C] . Nirjon Shahriar, Greenwood Chris, Torres Carlos, IEEE International Conference on Pervasive Computing and Communications . 2014

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5. Development of a Standardized Framework for Cost-Effective Communication System Based on 3D Data Streaming and Real-Time 3D Reconstruction. [D] . Huynh, Dang Duong Hai. 2017

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7. Evolving fuzzy systems from data streams in real-time [O] . Angelov Plamen, Zhou Xiaowei 2006

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8. Highly Reactive, Real-Time Planner for Aggressive 3D Aircraft Maneuvers to Avoid Unguided Threats. [R] . Stottler, R., Barton, C., Breeden, D. 2012

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Kintense: A Robust, Accurate, Real-Time and Evolving System for Detecting Aggressive Actions from Streaming 3D Skeleton Data

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