DocumentCode :
3071535
Title :
Z language based an algorithm for event detection, analysis and classification in machine vision
Author :
Singh, Sushil ; Chana, Inderveer ; Singh, Monika
Author_Institution :
CSED, Thapar Univ., Patiala, India
fYear :
2013
fDate :
23-24 Aug. 2013
Firstpage :
1
Lastpage :
7
Abstract :
A common task in various machine learning (ML) application areas involves observing regularly gathered data for `interesting´ events. This mission is predominant in reconnaissance, but also in responsibilities fluctuating from the investigation of scientific data to the observing of unsurprisingly happening events, and from controlling engineering procedures to noticing human behavior. We will refer to this observing procedure with the determination of classifying remarkable manifestations, as event detection, analysis and classification. With the appearance of personal computers (PCs) a lot of efforts have been made to substitute manual investigation by a computerized manner. Data, nevertheless, have become gradually difficult, and the sizes of gathered data have become enormously bulky in latest years. Text documents, JPEG images, MP3, videos and even relational data are now regularly gathered. In this paper, we propose an algorithm for event detection, analysis and classification in machine vision. Till proposed algorithm is deliberated a significant facility, required degree of event detection cannot be achieved. Finally, we use K-means algorithm for classification of incoming events and proposed algorithm has been validated by Z Formal specification language in general. The proposed algorithm has been implemented in Matlab and results have been gathered through a data mining tool. Using the proposed algorithm, the events are easily detected, analyzed and classified in machine vision.
Keywords :
computer vision; data mining; formal specification; image classification; learning (artificial intelligence); object detection; specification languages; JPEG images; K-means algorithm; ML application; MP3 data; PC; Z formal specification language; data mining tool; event analysis; event classification; event detection; machine learning application; machine vision; personal computers; relational data; text documents; video data; Algorithm design and analysis; Classification algorithms; Clustering algorithms; Detectors; Event detection; Machine learning algorithms; Machine vision; Artificial intelligence; Computer Vision; Data Mining; Expert System; Formal Language; Machine Learning; Machine Vision; Matlab; Software Architecture;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Human Computer Interactions (ICHCI), 2013 International Conference on
Conference_Location :
Chennai
Type :
conf
DOI :
10.1109/ICHCI-IEEE.2013.6887803
Filename :
6887803
Link To Document :
بازگشت