Automatic Underwater Target Detection and Tracking System using Adaptive Dual Threshold Detection and Track-Reliability Evaluation

Automatic Underwater Multiple Objects Detection and Tracking Using Sonar Imaging

Automatic Detection and Tracking of Target Singer

In this paper, we investigate the problem of automatically detecting and tracking a specified person’s singing potions within a music recording with multiple simultaneous or nonsimultaneous singers. This problem reflects an important issue in multimedia applications which require transcription and indexing of music data in response to the increasing demand nowadays for content-based information...

automatic human face detection and tracking using cascaded classifiers and deformable meshes

in this paper, we propose a novel method for fully automatic detection and tracking of human heads and faces in video sequences. the proposed algorithm consists of two modules: a face detection module and a face tracking module. the detection module, detects the face region and approximates it with an ellipse at the first frame using a modified version of adaboost cascaded classifier. the detec...

A Detection, Tracking, and Classification System for Underwater Images

Traditional underwater images for ecology study often include time-lapse or brief video recordings over short periods of time. More recently, with the installation of under water cabled observatories that provide constant electrical power and data connections to the seafloor, longterm video recordings are possible for the first time. These valuable recordings are essential for underwater ecolog...

Detection of Breast Cancer Progress Using Adaptive Nero Fuzzy Inference System and Data Mining Techniques

Prediction, diagnosis, recovery and recurrence of the breast cancer among the patients are always one of the most important challenges for explorers and scientists. Nowadays by using of the bioinformatics sciences, these challenges can be eliminated by using of the previous information of patients records. In this paper has been used adaptive nero fuzzy inference system and data mining techniqu...