ANALISIS FITUR HAAR MENGGUNAKAN ALGORITMA HAAR-LIKE FEATURE PADA CITRA KENDARAAN BERMOTOR

Sistem Informasi Pengarsipan Menggunakan Algoritma Levensthein String pada Kecamatan Seberang Ulu II

Archival information systems in government agency is one of the most used applications for daily acitivities. One feature in application management information document is searching. This feature serves to search for documents from a collection of available information based on keywords entered by the user. But some researches on a search engine (searching) concluded that the average user error...

Bayesian Network Based Reparameterization of Haar-like Feature

Object detection using Haar-like features is formulated as a maximum likelihood estimation. Object features are described by an arbitrary Bayesian Network (BN) of Haar-like features. We proposed variable translation techniques transform the BN into the likelihood for the object detection. The likelihood is a BN which includes a node that represents the object’s position, angle and scale. The ob...

Adaptive Feature Extraction with Haar-like Features for Visual Tracking

We propose an adaptive feature extraction technique to improve the performance of visual tracking algorithm. The goal is achieved by the integration of Haar-like features in ensemble tracking [1] framework. Our experiment shows that the proposed algorithm performs well even in case of various illumination changes and short occlusions.

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...

Texture Segmentation via Haar Fractal Feature Estimation