Human Body Parts Estimation and Detection for Physical Sports Movements
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[1] Ahmad Jalal,et al. Collaboration Achievement along with Performance Maintenance in Video Streaming , 2007 .
[2] Daijin Kim,et al. Depth silhouettes context: A new robust feature for human tracking and activity recognition based on embedded HMMs , 2015, 2015 12th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI).
[3] Ahmad Jalal,et al. A Complexity Removal in the Floating Point and Rate Control Phenomenon , 2005 .
[4] Peyman Milanfar,et al. A Tour of Modern Image Filtering: New Insights and Methods, Both Practical and Theoretical , 2013, IEEE Signal Processing Magazine.
[5] Tae-Seong Kim,et al. Recognition of Human Home Activities via Depth Silhouettes and ℜ Transformation for Smart Homes , 2012 .
[6] Ahmad Jalal,et al. Dense depth maps-based human pose tracking and recognition in dynamic scenes using ridge data , 2014, 2014 11th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS).
[7] A. Jalal,et al. Assembled algorithm in the real-time H.263 codec for advanced performance , 2005, Proceedings of 7th International Workshop on Enterprise networking and Computing in Healthcare Industry, 2005. HEALTHCOM 2005..
[8] Sangho Park,et al. Segmentation and tracking of interacting human body parts under occlusion and shadowing , 2002, Workshop on Motion and Video Computing, 2002. Proceedings..
[9] Peter R. Innocent,et al. Determining and classifying the region of interest in ultrasonic images of the breast using neural networks , 1996, Artif. Intell. Medicine.
[10] Daijin Kim,et al. Human daily activity recognition with joints plus body features representation using Kinect sensor , 2015, 2015 International Conference on Informatics, Electronics & Vision (ICIEV).
[11] Daijin Kim,et al. A Depth Video Sensor-Based Life-Logging Human Activity Recognition System for Elderly Care in Smart Indoor Environments , 2014, Sensors.
[12] Takayuki Nakata,et al. Gaze Estimation Using Human Joint Rotation Angel , 2015, 2015 International Conference on Cyberworlds (CW).
[13] Lihong Zheng,et al. Facial expression recognition using hybrid features and self-organizing maps , 2017, 2017 IEEE International Conference on Multimedia and Expo (ICME).
[14] Daijin Kim,et al. Ridge body parts features for human pose estimation and recognition from RGB-D video data , 2014, Fifth International Conference on Computing, Communications and Networking Technologies (ICCCNT).
[15] Daijin Kim,et al. Human Depth Sensors-Based Activity Recognition Using Spatiotemporal Features and Hidden Markov Model for Smart Environments , 2016, J. Comput. Networks Commun..
[16] Tae-Seong Kim,et al. Human Activity Recognition via Recognized Body Parts of Human Depth Silhouettes for Residents Monitoring Services at Smart Home , 2013 .
[17] D.M. Mount,et al. An Efficient k-Means Clustering Algorithm: Analysis and Implementation , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[18] Damla Arifoglu,et al. Activity Recognition and Abnormal Behaviour Detection with Recurrent Neural Networks , 2017, FNC/MobiSPC.
[19] Dao Nam Anh. Detection of lesion region in skin images by moment of patch , 2016, 2016 IEEE RIVF International Conference on Computing & Communication Technologies, Research, Innovation, and Vision for the Future (RIVF).
[20] Shaharyar Kamal,et al. Improved Behavior Monitoring and Classification Using Cues Parameters Extraction from Camera Array Images , 2019, Int. J. Interact. Multim. Artif. Intell..
[21] Shaharyar Kamal,et al. Real-time life logging via a depth silhouette-based human activity recognition system for smart home services , 2014, 2014 11th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS).
[22] Mian Ahmad Zeb,et al. Security and QoS Optimization for Distributed Real Time Environment , 2007, 7th IEEE International Conference on Computer and Information Technology (CIT 2007).
[23] Tae-Seong Kim,et al. Human Activity Recognition via the Features of Labeled Depth Body Parts , 2012, ICOST.
[24] Ami Luttwak,et al. Human Body Parts Tracking and Kinematic Features Assessment Based on RSSI and Inertial Sensor Measurements , 2013, Sensors.
[25] Daijin Kim,et al. Depth map-based human activity tracking and recognition using body joints features and Self-Organized Map , 2014, Fifth International Conference on Computing, Communications and Networking Technologies (ICCCNT).
[26] S. Maheswari,et al. Enhanced skin tone detection using heuristic thresholding , 2017 .
[27] Doo-Kwon Baik,et al. A Context-Aware Fitness Guide System for Exercise Optimization in U-Health , 2009, IEEE Transactions on Information Technology in Biomedicine.
[28] Ahmad Jalal,et al. The Mechanism of Edge Detection using the Block Matching Criteria for the Motion Estimation , 2005 .
[29] Cesar A. Azurdia-Meza,et al. Depth Maps-Based Human Segmentation and Action Recognition Using Full-Body Plus Body Color Cues Via Recognizer Engine , 2019, Journal of Electrical Engineering & Technology.
[30] Yuan Luo,et al. Human limb motion real-time tracking based on CamShift for intelligent rehabilitation system , 2009, 2009 IEEE International Conference on Robotics and Biomimetics (ROBIO).
[31] Ahmad Jalal,et al. Security Enhancement for E-Learning Portal , 2008 .
[32] Shaharyar Kamal,et al. A Hybrid Feature Extraction Approach for Human Detection, Tracking and Activity Recognition Using Depth Sensors , 2016 .
[33] Yan Zhang,et al. On the Euclidean distance of images , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[34] Daijin Kim,et al. A Depth Video-based Human Detection and Activity Recognition using Multi-features and Embedded Hidden Markov Models for Health Care Monitoring Systems , 2017, Int. J. Interact. Multim. Artif. Intell..
[35] Dong-Seong Kim,et al. Detecting Complex 3D Human Motions with Body Model Low-Rank Representation for Real-Time Smart Activity Monitoring System , 2018, KSII Trans. Internet Inf. Syst..
[36] Ahmad Jalal,et al. Global Security Using Human Face Understanding under Vision Ubiquitous Architecture System , 2008 .
[37] A. Jalal,et al. Security Architecture for Third Generation (3G) using GMHS Cellular Network , 2007, 2007 International Conference on Emerging Technologies.
[38] Stefan Carlsson,et al. 3D Pictorial Structures for Multiple View Articulated Pose Estimation , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[39] Joris De Schutter,et al. An adaptable system for RGB-D based human body detection and pose estimation , 2014, J. Vis. Commun. Image Represent..
[40] Antoni B. Chan,et al. 3D Human Pose Estimation from Monocular Images with Deep Convolutional Neural Network , 2014, ACCV.
[41] Sangwook Kim,et al. Algorithmic implementation and efficiency maintenance of real-time environment using low-bitrate wireless communication , 2006, The Fourth IEEE Workshop on Software Technologies for Future Embedded and Ubiquitous Systems, and the Second International Workshop on Collaborative Computing, Integration, and Assurance (SEUS-WCCIA'06).
[42] Ahmad Jalal,et al. Wearable Sensor-Based Human Behavior Understanding and Recognition in Daily Life for Smart Environments , 2018, 2018 International Conference on Frontiers of Information Technology (FIT).
[43] Tae-Seong Kim,et al. Depth video-based human activity recognition system using translation and scaling invariant features for life logging at smart home , 2012, IEEE Transactions on Consumer Electronics.
[44] Ahmad Jalal,et al. Multiple Facial Feature Detection Using Vertex-Modeling Structure , 2007 .
[45] Daijin Kim,et al. Shape and Motion Features Approach for Activity Tracking and Recognition from Kinect Video Camera , 2015, 2015 IEEE 29th International Conference on Advanced Information Networking and Applications Workshops.
[46] Daijin Kim,et al. Individual detection-tracking-recognition using depth activity images , 2015, 2015 12th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI).
[47] Maria Mahmood,et al. Multi-features descriptors for Human Activity Tracking and Recognition in Indoor-Outdoor Environments , 2019, 2019 16th International Bhurban Conference on Applied Sciences and Technology (IBCAST).
[48] Ram Nevatia,et al. Body Part Detection for Human Pose Estimation and Tracking , 2007, 2007 IEEE Workshop on Motion and Video Computing (WMVC'07).
[49] Ahmad Jalal,et al. Robust Spatio-Temporal Features for Human Interaction Recognition Via Artificial Neural Network , 2018, 2018 International Conference on Frontiers of Information Technology (FIT).
[50] Daijin Kim,et al. Robust human activity recognition from depth video using spatiotemporal multi-fused features , 2017, Pattern Recognit..
[51] Mubarak Shah,et al. Action MACH a spatio-temporal Maximum Average Correlation Height filter for action recognition , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[52] Ahmad Jalal,et al. Facial Expression Recognition in Image Sequences Using 1D Transform and Gabor Wavelet Transform , 2018, 2018 International Conference on Applied and Engineering Mathematics (ICAEM).
[53] David S. Monaghan,et al. 3D Human Gait Reconstruction and Monitoring Using Body-Worn Inertial Sensors and Kinematic Modeling , 2016, IEEE Sensors Journal.
[54] Mircea Nicolescu,et al. Human Body Parts Tracking Using Torso Tracking: Applications to Activity Recognition , 2012, 2012 Ninth International Conference on Information Technology - New Generations.
[55] Shaharyar Kamal,et al. Dense RGB-D Map-Based Human Tracking and Activity Recognition using Skin Joints Features and Self-Organizing Map , 2015, KSII Trans. Internet Inf. Syst..
[56] Ahmad Jalal,et al. Advanced Performance Achievement using Multi- Algorithmic Approach of Video Transcoder for Low Bitrate Wireless Communication , 2005 .