Ear Detection using Haar-like Feature and Template
نویسندگان
چکیده
منابع مشابه
Facial Feature Detection Using Haar Classifiers*
Viola and Jones [9] introduced a method to accurately and rapidly detect faces within an image. This technique can be adapted to accurately detect facial features. However, the area of the image being analyzed for a facial feature needs to be regionalized to the location with the highest probability of containing the feature. By regionalizing the detection area, false positives are eliminated a...
متن کاملHuman Eye Blink Detection using YCbCr Color Model, Haar-Like Features and Template Matching
This paper presents comparison of two image processing algorithms used for eye blink detection. The motivation of this research work is the need of disabled persons who are unable to move their body parts except eyes. The process of blink detection is divided into three parts viz.face localization, eye pair localization and template matching method. In method 1, YCbCr color model and morphologi...
متن کاملMoving Vehicle Detection Using AdaBoost and Haar-Like Feature in Surveillance Videos
Vehicle detection is a technology which its aim is to locate and show the vehicle size in digital images. In this technology, vehicles are detected in presence of other things like trees and buildings. It has an important role in many computer vision applications such as vehicle tracking, analyzing the traffic scene and efficient traffic management. In this paper, vehicles detected based on the...
متن کاملAnchor Person Detection using Haar-Like Feature Extraction from News Videos
The human face and facial feature extraction play a key role in person identification in the areas of video surveillance and access control on security reason. In this research work news video is taken for anchor person detection. Detecting anchor person from news videos give the time distribution to news readers and provide editorial support to journalist to find videos related to the particul...
متن کاملObscenity Detection Using Haar-Like Features and Gentle Adaboost Classifier
Large exposure of skin area of an image is considered obscene. This only fact may lead to many false images having skin-like objects and may not detect those images which have partially exposed skin area but have exposed erotogenic human body parts. This paper presents a novel method for detecting nipples from pornographic image contents. Nipple is considered as an erotogenic organ to identify ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Broadcast Engineering
سال: 2008
ISSN: 1226-7953
DOI: 10.5909/jbe.2008.13.6.875