tailieunhanh - Summary of mathematical doctoral thesis: Techniques to process observed regions and detect abnormal objects in video surveillance systems

The thesis majors at: Camera surveillance systems and related works; the hand – off camera techniques in surveillance camera systems with multiple cameras; the anomaly detection techniques in video surveillance. | MINISTRY OF EDUCATION VIETNAM ACADEMY OF AND TRAINING SCIENCE AND TECHNOLOGY GRADUATE UNIVERSITY SCIENCE AND TECHNOLOGY NGÔ ĐỨC VĨNH TECHNIQUES TO PROCESS OBSERVED REGIONS AND DETECT ABNORMAL OBJECTS IN VIDEO SURVEILLANCE SYSTEMS Major Mathematical basis for informatics Code SUMMARY OF MATHEMATICAL DOCTORAL THESIS Hanoi - 2016 1 INTRODUCTION 1. The urgency of the thesis Nowadays camera surveillance systems become popular and used widely in many fields. With the traditional systems video streams are observed by observers in real time they can process as quick as problems founded. Directly process video streams are quite a big problem due to the large number of cameras with a huge of database which will lead to leave out important scenes in a video stream. For these reasons auto surveillance is the first job in video surveillance system. This can help observers in controlling observation and reduce errors. Automatic systems can do surveillance work without human interaction from the element moving detection to upper event detection behaviour detection . One of problems needs to solve in multi-camera surveillance system is the appearance and disappearance of an object from one camera to the other this called finding forward camera. Finding the next camera is the most important work in continuous tracking an object in a multi camera surveillance system. Many projects for solving continuous tracking object when its travel pass by the camera most of them pay attention to establishing the relation of an object in one camera and the forward camera. It means that most projects compare objects in the intersection of the observation zone of cameras in a 2D environment. How to define the time and forward camera to get the continuous tracking The researcher is working to find the answer for this question. Finding forward camera requests a huge task define time and define the next camera transfer the object. So .