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
A secure, private, and explainable IoHT framework to support sustainable health monitoring in a smart city
TL;DR: This paper proposes a framework that will allow healthcare sustainability through the following contributions: ensure privacy of training dataset, support the aggregation of the global model gradients through a private Blockchain-brokered entity, support trustworthiness and provenance of the federated clients by blockchain and off-chain, and add explainability and reasoning of deep learning process to make the model acceptable by the society.
Proceedings ArticleDOI
CRAM: Compact representation of actions in movies
TL;DR: This work introduces activity-specific video summaries, which provide an effective means of browsing and indexing video based on a set of events of interest, and automatically generates a compact video representation of a long sequence, which features only activities of interest while preserving the general dynamics of the original video.
Patent
De-aliasing depth images
TL;DR: In this article, a cost function is determined based on differences between the potential depth values of each location and its neighboring locations, which is substantially minimized to select one of the potential depths for each of the locations.
Journal ArticleDOI
A System for Multicamera Task Recognition and Summarization for Structured Environments
TL;DR: A novel system for visual recognition and summarization of pick and place tasks that may be executed in settings such as an industrial assembly line based on the utilization of hidden Markov models for online task recognition as well as on the use of prior knowledge via a Hopfield-based optimization scheme.
Proceedings ArticleDOI
Articulated model based people tracking using motion models
TL;DR: This paper focuses on acquisition of human motion data such as joint angles and velocity for applications of virtual reality, using both an articulated body model and a motion model in the CONDENSATION framework, and proposes a PEF (pose evaluation function) modeled with a radial term.
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.