A Systematic Deep Learning Based Overhead Tracking and Counting System Using RGB-D Remote Cameras
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Munkhjargal Gochoo | Ahmad Jalal | Yazeed Yasin Ghadi | Syeda Amna Rizwan | Kibum Kim | A. Jalal | Kibum Kim | Munkhjargal Gochoo | Y. Ghadi | S. Rizwan
[1] Mario Vento,et al. Counting people by RGB or depth overhead cameras , 2016, Pattern Recognit. Lett..
[2] Tsong-Yi Chen,et al. A Cost-Effective People-Counter for a Crowd of Moving People Based on Two-Stage Segmentation , 2012, J. Inf. Hiding Multim. Signal Process..
[3] Guesh Dagnew,et al. Deep learning approach for microarray cancer data classification , 2020, CAAI Trans. Intell. Technol..
[4] Cristina Losada-Gutierrez,et al. Headgear Accessories Classification Using an Overhead Depth Sensor , 2017, Sensors.
[5] Rui Jiang,et al. Object tracking on event cameras with offline-online learning , 2020, CAAI Trans. Intell. Technol..
[6] Benedetto Barabino,et al. An Offline Framework for Handling Automatic Passenger Counting Raw Data , 2014, IEEE Transactions on Intelligent Transportation Systems.
[7] Jing Lv,et al. People-flow counting in complex environments by combining depth and color information , 2016, Multimedia Tools and Applications.
[8] Wei Liang,et al. Recognising human interaction from videos by a discriminative model , 2014, IET Comput. Vis..
[9] Zhengyou Zhang,et al. Microsoft Kinect Sensor and Its Effect , 2012, IEEE Multim..
[10] Xu Yong,et al. Three-stage network for age estimation , 2019 .
[11] Munkhjargal Gochoo,et al. Modeling Two-Person Segmentation and Locomotion for Stereoscopic Action Identification: A Sustainable Video Surveillance System , 2021, Sustainability.
[12] Munkhjargal Gochoo,et al. Stochastic Remote Sensing Event Classification over Adaptive Posture Estimation via Multifused Data and Deep Belief Network , 2021, Remote. Sens..
[13] Tae-Seong Kim,et al. Human Activity Recognition via Recognized Body Parts of Human Depth Silhouettes for Residents Monitoring Services at Smart Home , 2013 .
[14] Jean-Philippe Thiran,et al. Counting Pedestrians in Video Sequences Using Trajectory Clustering , 2006, IEEE Transactions on Circuits and Systems for Video Technology.
[15] Yi Sun,et al. Head-and-Shoulder Detection in Varying Pose , 2005, ICNC.
[16] Kibum Kim,et al. Automatic Recognition of Human Interaction via Hybrid Descriptors and Maximum Entropy Markov Model Using Depth Sensors , 2020, Entropy.
[17] Jehad Ali,et al. 3D Head Pose Estimation through Facial Features and Deep Convolutional Neural Networks , 2021, Computers, Materials & Continua.
[18] Tan-Hsu Tan,et al. Novel IoT-Based Privacy-Preserving Yoga Posture Recognition System Using Low-Resolution Infrared Sensors and Deep Learning , 2019, IEEE Internet of Things Journal.
[19] Kibum Kim,et al. A Novel Statistical Method for Scene Classification Based on Multi-Object Categorization and Logistic Regression , 2020, Sensors.
[20] Munkhjargal Gochoo,et al. Robust Active Shape Model via Hierarchical Feature Extraction with SFS-Optimized Convolution Neural Network for Invariant Human Age Classification , 2021, Electronics.
[21] Alvaro Fernandez-Rincon,et al. Robust people detection using depth information from an overhead Time-of-Flight camera , 2017, Expert Syst. Appl..
[22] Kibum Kim,et al. Automated Sustainable Multi-Object Segmentation and Recognition via Modified Sampling Consensus and Kernel Sliding Perceptron , 2020, Symmetry.
[23] Jianxin Li,et al. Benchmark Data and Method for Real-Time People Counting in Cluttered Scenes Using Depth Sensors , 2018, IEEE Transactions on Intelligent Transportation Systems.
[24] Andrea Fusiello,et al. Tracking Human Motion with Multiple Cameras Using an Articulated Model , 2009, MIRAGE.
[25] Normaziah Abdul Aziz,et al. Improved Malware Detection Model with Apriori Association Rule and Particle Swarm Optimization , 2019, Secur. Commun. Networks.
[26] Weria Khaksar,et al. Facial Expression Recognition Using Salient Features and Convolutional Neural Network , 2017, IEEE Access.
[27] Maria Mahmood,et al. Students’ behavior mining in e-learning environment using cognitive processes with information technologies , 2019, Education and Information Technologies.
[28] Ahmad Jalal,et al. Wearable Inertial Sensors for Daily Activity Analysis Based on Adam Optimization and the Maximum Entropy Markov Model , 2020, Entropy.
[29] Majid Ali Khan Quaid,et al. Wearable sensors based human behavioral pattern recognition using statistical features and reweighted genetic algorithm , 2019, Multimedia Tools and Applications.