TY  - CONF
SP  - 810
AV  - none
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-58049116090&doi=10.1109%2fICIAS.2007.4658499&partnerID=40&md5=91671240b9771f38dca12cf0d73f5e7b
Y1  - 2007///
N1  - cited By 1; Conference of 2007 International Conference on Intelligent and Advanced Systems, ICIAS 2007 ; Conference Date: 25 November 2007 Through 28 November 2007; Conference Code:74506
EP  - 814
A1  - Abdalla, A.A.
A1  - Asirvadam, V.S.
A1  - Sebastian, P.
CY  - Kuala Lumpur
KW  - Cameras; Image segmentation; Pixels
KW  -  Attribute extractions; Center of masses; Extracting informations; Fixed angles; Fixed cameras; Frequency distributions; Image attributes; Indoor environments; Knowledge extractions; Measurement tools; Moving objects; Object of interests; Pixel locations; Single objects; Video images
KW  -  Image processing
ID  - scholars138
SN  - 1424413559; 9781424413553
TI  - Mining moving object attributes based on pixel location for fixed camera
N2  - This paper presents the concept of extracting information from a moving object using a fixed camera in an enclosed environment in order to extract some of the image attributes. The work relies on tracking a single object in an indoor environments and the knowledge extraction of a particular object is based on three preset measurement tools. The first tool is pixel location retrieval by calculating the center of mass for the object of interest. Second attribute extraction is based on the time spend by object of interest in each frame and in each predefined zones. Finally the third measurement approach is achieved by calculating the pixel frequency distribution of the object. This work form a precursor to identifying intruder (or any interested moving object) based on pixel activity using fixed angle view video images. ©2007 IEEE.
ER  -