Normal view MARC view ISBD view

Motion History Images for Action Recognition and Understanding [electronic resource] /by Md. Atiqur Rahman Ahad.

by Ahad, Md. Atiqur Rahman [author.]; SpringerLink (Online service).

Material type: materialTypeLabel

BookSeries: SpringerBriefs in Computer Science: Publisher: London : Springer London : 2013.Description: XVI, 116 p. 34 illus. online resource.ISBN: 9781447147305.Subject(s): Computer science | Optical pattern recognition | Computer Science | Pattern RecognitionDDC classification: 006.4 Online resources: Click here to access online

Contents:

Introduction -- Action Representation -- Motion History Image -- Action Datasets and MHI.

In: Springer eBooksSummary: Human action analysis and recognition is a relatively mature field, yet one which is often not well understood by students and researchers. The large number of possible variations in human motion and appearance, camera viewpoint, and environment, present considerable challenges. Some important and common problems remain unsolved by the computer vision community. However, many valuable approaches have been proposed over the past decade, including the motion history image (MHI) method. This method has received significant attention, as it offers greater robustness and performance than other techniques. This work presents a comprehensive review of these state-of-the-art approaches and their applications, with a particular focus on the MHI method and its variants.

Tags from this library: No tags from this library for this title. Add tag(s)

average rating: 0.0 (0 votes)

Item type	Current location	Call number	Status	Date due	Barcode
		TK7882.P3 (Browse shelf)	Available
Long Loan	MAIN LIBRARY	Q337.5 (Browse shelf)	Available

Browsing MAIN LIBRARY Shelves Close shelf browser

Previous								Next
Previous	Q337.5 Handbook of Iris Recognition	Q337.5 Real-Time Detection of Lines and Grids	Q337.5 Imaging Spectroscopy for Scene Analysis	Q337.5 Motion History Images for Action Recognition and Understanding	Q337.5 Decision Forests for Computer Vision and Medical Image Analysis	Q337.5 Compression Schemes for Mining Large Datasets	Q337.5 Similarity-Based Pattern Analysis and Recognition	Next

Introduction -- Action Representation -- Motion History Image -- Action Datasets and MHI.

Human action analysis and recognition is a relatively mature field, yet one which is often not well understood by students and researchers. The large number of possible variations in human motion and appearance, camera viewpoint, and environment, present considerable challenges. Some important and common problems remain unsolved by the computer vision community. However, many valuable approaches have been proposed over the past decade, including the motion history image (MHI) method. This method has received significant attention, as it offers greater robustness and performance than other techniques. This work presents a comprehensive review of these state-of-the-art approaches and their applications, with a particular focus on the MHI method and its variants.

Koha online

Motion History Images for Action Recognition and Understanding [electronic resource] /by Md. Atiqur Rahman Ahad.

by Ahad, Md. Atiqur Rahman [author.]; SpringerLink (Online service).

Browsing MAIN LIBRARY Shelves Close shelf browser