Human Silhouette Extraction is one of the vital task in human abnormality gait detection. Hence in this study, extraction of human gait silhouette using Haar Cascade classifier is developed. This is done by detecting the region of interests (ROI) and by cropping the selected areas followed by background subtraction to eliminate unwanted background and further convert the images to silhouettes f...

Visua l illusion is the fallacious percep ti on of rea lity or some ac t ua lly existi ng object. In t his paper , we imit at e the mechanism of Ehrenst ein illusion, neon color sp readi ng illnsion , wa te r­ color illusion, Kanizsa illusion, shifted edg es illusion , and hybrid image illusion using t he O pen Source Comput er Vision Library (OpenCV). We also im itate th ese illusions using Ce...

Automatically recognizing and analyzing visual activities in complex environments is a challenging and open-ended problem. In this thesis this problem domain is visited in a chess game scenario where the rules, actions and the environment are well defined. The purpose here is to detect and observe a FIDE (Fédération International des Échecs) compatible chess board and to generate a log file of ...

Computer, robotic and mobile interfaces are beginning to use expression recognition to give a more human experience. To make an interface more dynamic and seamless to human interaction, understanding of emotions is key. A robust application to recognize certain facial expressions in real time has many obstacles starting from correctly identifying a face and extracting necessary features of the ...

This paper presents the development of an intelligent portable human recognition and location identification system using ARM7 based microcontroller, OpenCV based machine and advanced communication technologies like GPS and GSM. With the development of video surveillance gradually from the traditional security surveillance to intelligent surveillance, we present a method, to process the image a...

Taxonomy and classification of freshwater algae is highly dependent on morpho-taxonomic characterization molecular genetic techniques. However, these methods are considered time- consuming tedious. This study was conducted to integrate the latest technological innovations digital image processing machine learning in developing an automated detection, recognition, identification selected algal s...

This research aimed at studying the current methods of attendance used higher institutions learning in Uganda and feasibility using facial biometrics as a new method capturing attendance. Facial is distinct from other because it can be carried out without consent person involved. As result, researcher developed face recognition system OpenCV Microsoft Azure CS. Questionnaires, interviews, obser...

Abstract Relying on manual garbage classification, the classification efficiency is low, and because of environment bad, task heavy, it very adverse to health personnel. With development artificial intelligence, intelligence technology has advanced by leaps bounds. After concept deep learning was proposed, driven practical application. And advantages are obvious, which also makes automatic sort...