3-D Surface Solution Using Structured Light and Constraint Propagation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Range Image Acquisition with a Single Binary-Encoded Light Pattern
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Method for Registration of 3-D Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Maintaining knowledge about temporal intervals
Communications of the ACM
The Recognition of Human Movement Using Temporal Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
Introductory Techniques for 3-D Computer Vision
Introductory Techniques for 3-D Computer Vision
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Constraining Human Body Tracking
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Recognizing Human Actions: A Local SVM Approach
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Overview of the Face Recognition Grand Challenge
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Discriminative Learning of Markov Random Fields for Segmentation of 3D Scan Data
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
A survey of advances in vision-based human motion capture and analysis
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
Human posture tracking and classification through stereo vision and 3D model matching
Journal on Image and Video Processing - Anthropocentric Video Analysis: Tools and Applications
Gesture recognition with a Time-Of-Flight camera
International Journal of Intelligent Systems Technologies and Applications
Fusion of 2d and 3d sensor data for articulated body tracking
Robotics and Autonomous Systems
Grid coding: a preprocessing technique for robot and machine vision
IJCAI'71 Proceedings of the 2nd international joint conference on Artificial intelligence
Recognition of polyhedrons with a range finder
IJCAI'71 Proceedings of the 2nd international joint conference on Artificial intelligence
A survey on vision-based human action recognition
Image and Vision Computing
View-independent human action recognition with Volume Motion Template on single stereo camera
Pattern Recognition Letters
Hand gesture recognition with a novel IR time-of-flight range camera: a pilot study
MIRAGE'07 Proceedings of the 3rd international conference on Computer vision/computer graphics collaboration techniques
Constrained optimization for human pose estimation from depth sequences
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
Learning 3D mesh segmentation and labeling
ACM SIGGRAPH 2010 papers
Advances in view-invariant human motion analysis: a review
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
MuHAVi: A Multicamera Human Action Video Dataset for the Evaluation of Action Recognition Methods
AVSS '10 Proceedings of the 2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance
Dynamic Hand Pose Recognition Using Depth Data
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Human activity analysis: A review
ACM Computing Surveys (CSUR)
A survey of vision-based methods for action representation, segmentation and recognition
Computer Vision and Image Understanding
Combining RGB and ToF cameras for real-time 3D hand gesture interaction
WACV '11 Proceedings of the 2011 IEEE Workshop on Applications of Computer Vision (WACV)
High-accuracy stereo depth maps using structured light
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Brave NUI World: Designing Natural User Interfaces for Touch and Gesture
Brave NUI World: Designing Natural User Interfaces for Touch and Gesture
Nonlinear body pose estimation from depth images
PR'05 Proceedings of the 27th DAGM conference on Pattern Recognition
Motion history image: its variants and applications
Machine Vision and Applications
Human skeleton tracking from depth data using geodesic distances and optical flow
Image and Vision Computing
Mining actionlet ensemble for action recognition with depth cameras
CVPR '12 Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Efficient regression of general-activity human poses from depth images
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
Robust 3d action recognition with random occupancy patterns
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II
Principal direction analysis-based real-time 3D human pose reconstruction from a single depth image
Proceedings of the Fourth Symposium on Information and Communication Technology
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Analysis of human behaviour through visual information has been a highly active research topic in the computer vision community. This was previously achieved via images from a conventional camera, however recently depth sensors have made a new type of data available. This survey starts by explaining the advantages of depth imagery, then describes the new sensors that are available to obtain it. In particular, the Microsoft Kinect has made high-resolution real-time depth cheaply available. The main published research on the use of depth imagery for analysing human activity is reviewed. Much of the existing work focuses on body part detection and pose estimation. A growing research area addresses the recognition of human actions. The publicly available datasets that include depth imagery are listed, as are the software libraries that can acquire it from a sensor. This survey concludes by summarising the current state of work on this topic, and pointing out promising future research directions. For both researchers and practitioners who are familiar with this topic and those who are new to this field, the review will aid in the selection, and development, of algorithms using depth data.