Fast Face Tracking-by-Detection Algorithm for Secure Monitoring
نویسندگان
چکیده
منابع مشابه
An Algorithm for Eye Detection and Tracking in Face Images
To detect and track eye images, distinctive features of user eye are used. Generally, an eye-tracking and detection system can be divided into four steps: Face detection, eye region detection, pupil detection and eye tracking. To find the position of pupil, first, face region must be separated from the rest of the image using mixture of Gaussian, this will cause the images background to be non ...
متن کاملFace Detection Identification and Tracking by PRDIT Algorithm using Image Database for Crime Investigation
In general, the field of face recognition has lots of research that have put interest in order to detect the face and to identify it and also to track it. Many researchers have concentrated on the face identification and detection problem by various approaches. The proposed approach is further very useful and helpful in very huge real time application. Thus the Face Detection, Identification an...
متن کاملFast hierarchical face detection
We describe a new face detection algorithm based on a hierarchy of support vector classifiers (SVMs). Some preprocessing steps reduce the number of candidates, which should be verify by SVMs. Hierarchical SVMs are designed for coarse-to-fine search of human face. In the SVMs, eye classifiers with different complexity (measured by the number of support vector) are used to find the eye candidates...
متن کاملFast Learning for Statistical Face Detection
In this paper, we propose a novel learning method for face detection using discriminative feature selection. The main deficiency of the boosting algorithm for face detection is its long training time. Through statistical learning theory, our discriminative feature selection method can make the training process for face detection much faster than the boosting algorithm without degrading the gene...
متن کاملA New Approach for Fast Face Detection
In this paper, a new approach to reduce the computation time taken by neural networks for the searching process is introduced. Both fast and cooperative modular neural networks are combined to enhance the performance of the detection process. Such approach is applied to identify human faces automatically in cluttered scenes. In the detection phase, neural networks are used to test whether a win...
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: Applied Sciences
سال: 2019
ISSN: 2076-3417
DOI: 10.3390/app9183774