TY  - JOUR
PY  - 2004//
TI  - Human shape variation-an efficient implementation using Skeleton
JO  - International journal of advanced computer research
A1  - Sengupta, Dhriti
A1  - Dastidar, Jayati Ghosh
A1  - Kundu, Merina
SP  - 145
EP  - 150
VL  - 4
IS  - 
N2  - It is at times important to detect human presence automatically in secure environments. This needs a shape recognition algorithm that is robust, fast and has low error rates. The algorithm needs to process camera images quickly to detect any human in the range of vision, and generate alerts, especially if the object under scrutiny is moving in certain directions. We present here a simple, efficient and fast algorithm using skeletons of the images, and simple features like posture and length of the object.     Keywords : Skeleton, Fork points, End Points, Descriptor, Features, Shape, Posture, Position.    Issues of this journal are numbered consecutively. This article appears in issue # 14.<p />  <p>Language: en</p>
LA  - en
SN  - 2249-7277
UR  - http://dx.doi.org/
ID  - ref1
ER  -