Area of research
Computer Vision and Pattern Recognition
Research interest
Research interests include Advanced Vision and Imaging, Video Surveillance and Tracking Methods, Advanced Image Processing Techniques, and Human Pose and Action Recognition.
High-accuracy people counting in large spaces using overhead fisheye cameras
High-accuracy people counting in large spaces using overhead fisheye cameras
A comparison of occupancy-sensing and energy-saving performance: CO2 sensors versus fisheye cameras
Spatio-Visual Fusion-Based Person Re-Identification for Overhead Fisheye Images
Scalable, Dual-Mode Occupancy Sensing for Commercial Venues
WEPDTOF: A Dataset and Benchmark Algorithms for In-the-Wild People Detection and Tracking from Overhead Fisheye Cameras
BSUV-Net 2.0: Spatio-Temporal Data Augmentations for Video-Agnostic Supervised Background Subtraction
Dynamic Equilibrium Module for Action Recognition
Supervised People Counting Using An Overhead Fisheye Camera
Emerging NUI-Based Methods for User Authentication: A New Taxonomy and Survey
MIO-TCD: A New Benchmark Dataset for Vehicle Classification and Localization
Concussion, microvascular injury, and early tauopathy in young athletes after impact head injury and an impact concussion mouse model
Semi-Coupled Two-Stream Fusion ConvNets for Action Recognition at Extremely Low Resolutions
Privacy-preserving indoor localization via light transport analysis
Two-Stream CNNs for Gesture-Based Verification and Identification: Learning User Style
Estimating head pose orientation using extremely low resolution images
Towards privacy-preserving recognition of human activities
Towards privacy-preserving activity recognition using extremely low temporal and spatial resolution cameras
A Novel Video Dataset for Change Detection Benchmarking
CDnet 2014: An Expanded Change Detection Benchmark Dataset
Action Recognition From Video Using Feature Covariance Matrices
Learning-Based, Automatic 2D-to-3D Image and Video Conversion
Dynamic time warping for gesture-based user identification and authentication with Kinect
Changedetection.net: A new change detection benchmark dataset
2D-to-3D image conversion by learning depth from examples
A gesture-driven computer interface using Kinect
Automatic 2D-to-3D image conversion using 3D examples from the internet
Towards Gesture-Based User Authentication
TWC: Medium: Collaborative: Towards Secure, Robust, and Usable Gesture-Based Authentication
US-France Cooperative Research: Segmentation and Reconstruction of Scenes with Dynamic Objects
Joint Space-Time Analysis and Characterization of Image Sequences
Automultiscopic 3-D Visual Communication System Based on Joint Reconstruction/Multiplexing of Views