TY  - BOOK
AU  - Ahad,MdAtiqur Rahman
ED  - SpringerLink (Online service)
TI  - Motion History Images for Action Recognition and Understanding
T2  - SpringerBriefs in Computer Science,
SN  - 9781447147305
AV  - Q337.5 
U1  - 006.4 23
PY  - 2013///
CY  - London
PB  - Springer London, Imprint: Springer
KW  - Computer science
KW  - Pattern recognition
KW  - Computer Science
KW  - Pattern Recognition
N1  - Introduction -- Action Representation -- Motion History Image -- Action Datasets and MHI
N2  - 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
UR  - http://dx.doi.org/10.1007/978-1-4471-4730-5
ER  -