A particle filter based algorithm for robust tracking of hands and face under occlusion (original) (raw)

The Realization of Face Detection and Fullness Detection in Medium by Using Haar Cascade Classifiers

Today, Human face detection algorithms, digital video processing, video detection, computer vision etc. are used in many applications. There are different applications for face detection and many methods in studies. It has gained importance to know which face detection method will be used. This study aims to detect the number of the faces in an image and to figure the status of fullness of the medium by using a mobile device. Haar Cascade Classifiers are used to take instant images by the mobile device. The medium of the image are analyzed and faces of the people's are detected. Study shows that the system works successfully.

Combining face and voice modalities for person verification from video sequences

Proceedings of the IEEE 12th Signal Processing and Communications Applications Conference, 2004., 2004

In this paper, a multimodal person verification system is presented. The system is based on face and voice modalities. Fusion of information derived from each modality is performed at the matching score level using the sum rule. For face verification statistical subspace tools are utilized as feature extractors. For speaker verification, mel frequency cepstral coefficients are used as features and