Informatics Publishing Limited

V. Arunachalam ¹, I. Sorimuthu ¹, V. Rajagopal ², B. Sankaragomathi ³

Affiliations
1 Department of Electronics and Communication Engineering, Einstein College of Engineering, IN
2 Department of Electronics and Communication Engineering, Sri Vidya College of Engineering and Technology, IN
3 Department of Electronics and Instrumentation Engineering, National Engineering College, IN

Abstract

This paper describes the advance techniques for object detection and tracking in video. Most visual surveillance systems start with motion detection. Motion detection methods attempt to locate connected regions of pixels that represent the moving objects within the scene; different approaches include frame-to-frame difference, background subtraction and motion analysis. The motion detection can be achieved by Principle Component Analysis (PCA) and then separate an objects from background using background subtraction. The detected object can be segmented. Segmentation consists of two schemes: one for spatial segmentation and the other for temporal segmentation. Tracking approach can be done in each frame of detected Object. Pixel label problem can be alleviated by the MAP (Maximum a Posteriori) technique.

Keywords

Background Subtraction, Object Tracking, Principle Component Analysis, Spatio-Temporal Segmentation, MAP.

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B. Sankaragomathi ¹, K. Swetha ²

Affiliations
1 Department of Electronics and Instrumentation Engineering, National Engineering College, IN
2 Department of Electronics and Instrumentation Engineering, National EngineeringNational Engineering College, IN

Abstract

Tuberculosis is a terrible, transferrable disease instigated by infection with Mycobacterium tuberculosis bacillus. A common diagnosis of this infection is the microscopic examination of sputum smears of affected persons. Tuberculosis is a disease with one of the most leading causes of deaths in the world, however, its fatality index could be reduced if it is diagnosed and treated on time. The Ziehl-Neelson stained sputum smear method is most used method for bacilli detection and developing a proper diagnosis by the specialist. Detection of tuberculosis involves different stages such as image preprocessing, segmentation, feature extraction and classification. This paper summarizes the study of various techniques of mycobacterium bacillus detection from sputum images.

Keywords

Pre-processing, Segmentation, Feature extraction, Classification, Ziehl-Neelson

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