Proceedings ArticleDOI
Human motion analysis: a review
Jake K. Aggarwal,Qin Cai +1 more
- pp 90-102
Reads0
Chats0
TLDR
The paper gives an overview of the various tasks involved in motion analysis of the human body, and focuses on three major areas related to interpreting human motion: motion analysis involving human body parts, tracking of human motion using single or multiple cameras, and recognizing human activities from image sequences.Abstract:
Human motion analysis is receiving increasing attention from computer vision researchers. This interest is motivated by a wide spectrum of applications, such as athletic performance analysis, surveillance, man-machine interfaces, content-based image storage and retrieval, and video conferencing. The paper gives an overview of the various tasks involved in motion analysis of the human body. The authors focus on three major areas related to interpreting human motion: 1) motion analysis involving human body parts, 2) tracking of human motion using single or multiple cameras, and 3) recognizing human activities from image sequences. Motion analysis of human body parts involves the low-level segmentation of the human body into segments connected by joints, and recovers the 3D structure of the human body using its 2D projections over a sequence of images. Tracking human motion using a single or multiple camera focuses on higher-level processing, in which moving humans are tracked without identifying specific parts of the body structure. After successfully matching the moving human image from one frame to another in image sequences, understanding the human movements or activities comes naturally, which leads to a discussion of recognizing human activities. The review is illustrated by examples.read more
Citations
More filters
Journal ArticleDOI
On the improvement of anthropometry and pose estimation from a single uncalibrated image
TL;DR: A generalization of that estimation algorithm that exploits pairwise geometric relationships of body segments to allow estimation from a broader class of images and the number of iterations needed during minimization are reduced tenfold.
Proceedings ArticleDOI
Detection of Fence Climbing from Monocular Video
E. Yu,Jake K. Aggarwal +1 more
TL;DR: This paper presents a system that detects humans climbing fences by decoding the state sequence of the block based HMM, a block based discrete hidden Markov model (HMM) built with predefined action classes as the state blocks.
Patent
System architecture design for time-of-flight system having reduced differential pixel size, and time-of-flight systems so designed
Cyrus Bamji,Swati Mehta +1 more
TL;DR: In this article, the authors provide methods to produce a high performance, feature rich TOF system, phase-based or otherwise using small TOF pixels, single-ended or preferably differential, as well as TOF systems designed.
Patent
Dynamic camera based practice mode
TL;DR: In this article, a method for displaying a practice swing ball flight to a user in a virtual golf game is described, which illustrates to the user a ball flight resulting from a practiceswing, had the practice swing instead been an actual swing intended to strike a real golf ball.
Journal ArticleDOI
A light weight smartphone based human activity recognition system with high accuracy
Osman Gani,Taskina Fayezeen,Richard J. Povinelli,Roger O. Smith,Muhammad Arif,Ahmed Kattan,Sheikh Iqbal Ahamed +6 more
TL;DR: Out-of-sample experimental results show that the proposed approach is able to recognize human activities from smartphones’ one-axis raw accelerometer sensor data, and achieves 100% accuracy for individual models across all activities and datasets.
References
More filters
Proceedings ArticleDOI
Determining Optical Flow
TL;DR: In this article, a method for finding the optical flow pattern is presented which assumes that the apparent velocity of the brightness pattern varies smoothly almost everywhere in the image, and an iterative implementation is shown which successfully computes the Optical Flow for a number of synthetic image sequences.
Journal ArticleDOI
Pfinder: real-time tracking of the human body
TL;DR: Pfinder is a real-time system for tracking people and interpreting their behavior that uses a multiclass statistical model of color and shape to obtain a 2D representation of head and hands in a wide range of viewing conditions.
Journal ArticleDOI
Representation and recognition of the spatial organization of three-dimensional shapes.
David Marr,H. K. Nishihara +1 more
TL;DR: The human visual process can be studied by examining the computational problems associated with deriving useful information from retinal images by applying the approach to the problem of representing three-dimensional shapes for the purpose of recognition.
Proceedings ArticleDOI
Recognizing human action in time-sequential images using hidden Markov model
Junji Yamato,J. Ohya,K. Ishii +2 more
TL;DR: The recognition rate is improved by increasing the number of people used to generate the training data, indicating the possibility of establishing a person-independent action recognizer.
Journal ArticleDOI
Visual motion perception.
TL;DR: The author uses projective relations as the theoretical foundation of his investigations of visual space and motion and concludes that during locomotion the components of the human visual environment are interpreted as rigid structures in relative motion.