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Video Surveillance and Tracking Methods

Video Surveillance and Tracking Methods

67 faculty research Video Surveillance and Tracking Methods on GradNova.

K
Kuldeep S. Meel

Stephen Fleming Early-Career Associate Professor

College of Computing

Georgia Institute of Technology

Advanced Database Systems and Queries
Bayesian Modeling and Causal Inference
Data Management and Algorithms
Time Series Analysis and Forecasting
+1
A
Animesh Garg

Stephen Fleming Early Career Asisstant Professor

College of Computing

Georgia Institute of Technology

Advanced Neural Network Applications
Anomaly Detection Techniques and Applications
Human Pose and Action Recognition
Security and Verification in Computing
+1
S
Shuochao Yao

Assistant Professor, Department of Computer Science

Computer Science

George Mason University

Physical-Aware
Predictable Artificial Intelligence Systems for Future Intelligent Internet of Things (iot) and Cyber-Physical Systems (cps)
Reliable
Resource-Efficient
+5
F
3D Generation
3D Human Digitization
3D Object/scene Understanding
3D Reconstruction
+17
M
Matt Burlick

Associate Teaching Professor & Associate Department Head for Graduate Affairs, Computer Science

Computer Science

Drexel University

Biomedical Imaging
Computer Graphics
Computer Vision
Data Structures and Algorithms
+10
S
Souyoung Jin

Assistant Professor of Computer Science

Computer Science

Dartmouth College

Domain Adaptation and Few-Shot Learning
Face Recognition and Analysis
Human Pose and Action Recognition
Multimodal Machine Learning Applications
+1
Y
Yang Wang

Associate Professor, Computer Science and Software Engineering

Computer Science

Concordia University

Computer Vision
Machine Learning
Advanced Image and Video Retrieval Techniques
Advanced Neural Network Applications
+3
K
Advanced Image and Video Retrieval Techniques
Distributed Control Multi-Agent Systems
Robotic Path Planning Algorithms
Robotics and Sensor-Based Localization
+1
V
Advanced Image and Video Retrieval Techniques
Ethics and Social Impacts of AI
Face Recognition and Analysis
Image Retrieval and Classification Techniques
+1
M
3D Surveying and Cultural Heritage
Indoor and Outdoor Localization Technologies
Robotics and Sensor-Based Localization
UAV Applications and Optimization
+1
T
Advanced Image and Video Retrieval Techniques
Advanced Vision and Imaging
Video Surveillance and Tracking Methods
K
Advanced Neural Network Applications
Advanced Vision and Imaging
Human Pose and Action Recognition
Multimodal Machine Learning Applications
+1
D
Artificial Intelligence in Games
Advanced Neural Network Applications
Human Pose and Action Recognition
Advanced Vision and Imaging
+2
K
Domain Adaptation and Few-Shot Learning
Reinforcement Learning in Robotics
Social Robot Interaction and Hri
Human Pose and Action Recognition
+4
M
Advanced Image and Video Retrieval Techniques
ECG Monitoring and Analysis
EEG and Brain-Computer Interfaces
Explainable Artificial Intelligence (xai)
+1
G
Advanced Image Fusion Techniques
Advanced Neural Network Applications
Image Enhancement Techniques
Software Testing and Debugging Techniques
+1
V
Distributed Sensor Networks and Detection Algorithms
Domain Adaptation and Few-Shot Learning
Machine Learning and Algorithms
Sparse and Compressive Sensing Techniques
+1
S
Stan Sclaroff

Professor & Dean of the College of Arts & Sciences

Computer Science

Boston University

Advanced Image and Video Retrieval Techniques
Human Pose and Action Recognition
Image Retrieval and Classification Techniques
Multimodal Machine Learning Applications
+1
Y
Deep Learning
Imitation Learning
Meta-Learning
Spatial-Temporal Data Mining
+5
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