Parallel Computational Intelligence-Based Multi-Camera Surveillance System
نویسندگان
چکیده
منابع مشابه
Parallel Computational Intelligence-Based Multi-Camera Surveillance System
In this work, we present a multi-camera surveillance system based on the use of self-organizing neural networks to represent events on video. The system processes several tasks in parallel using GPUs (graphic processor units). It addresses multiple vision tasks at various levels, such as segmentation, representation or characterization, analysis and monitoring of the movement. These features al...
متن کاملStereo Camera-based Intelligence Surveillance System
In this paper, a stereo camera-based video surveillance system using pan/tilt controller is suggested and implemented. Some experiments with video images for 3 moving persons show that a person could be identified with these extracted height and stride parameters. Some experiments with video images for 3 moving persons show that a person could be identified with these extracted height and strid...
متن کاملDistributed intelligence for multi-camera visual surveillance
Latest advances in hardware technology and state of the art of computer vision and arti,cial intelligence research can be employed to develop autonomous and distributed monitoring systems. The paper proposes a multi-agent architecture for the understanding of scene dynamics merging the information streamed by multiple cameras. A typical application would be the monitoring of a secure site, or a...
متن کاملA Scalable Image-Based Multi-Camera Visual Surveillance System
In this paper, we aim to achieve scalability and wider scene coverage through the use of multiple cameras in an outdoor visual surveillance system. Only image-based information is used to control the cameras, making the system highly scalable. We show that when a Pan-Tilt-Zoom camera pans and tilts, a given image point moves in circular and linear trajectory respectively. We also create a scene...
متن کاملKNIGHT: A Multi-Camera Surveillance System
In this paper, we present an automated wide area surveillance system that detects, tracks, classifies moving objects across multiple cameras. In addition, it detects unusual activities carried out by objects in the area under observation. At the single camera level, objects are detected using a robust background subtraction approach, then tracking is performed using a voting scheme that utilize...
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: Journal of Sensor and Actuator Networks
سال: 2014
ISSN: 2224-2708
DOI: 10.3390/jsan3020095