Results 1 -
3 of
3
Motion Detection In Real-Time Video Surveillance With Movement Frame Capture And Auto Record
"... Abstract-Traditional video surveillance takes a huge amount of storage space. Recording everything captured by a surveillance camera consumes the large storage space and hence limits the duration of video that can be stored. In addition, recording everything makes it time-consuming for a human to r ..."
Abstract
- Add to MetaCart
(Show Context)
Abstract-Traditional video surveillance takes a huge amount of storage space. Recording everything captured by a surveillance camera consumes the large storage space and hence limits the duration of video that can be stored. In addition, recording everything makes it time-consuming for a human to review the stored video. All these disadvantages limit the effectiveness of traditional video surveillance. To solve these problems recording only captured images that contains import this project uses a robust motion detection algorithm for real-time motion detection by considering and information, i.e., image that contains motion in the scene. This can be done with a web camera and a motion detection algorithm that detects motion. Once the motion detection algorithm robustly distinguishes motion from lighting changes. Web camera can take the snapshot of the moving object and at the same time, it will activate the warning system before storing the frames on the memory.
Moving Objects Detection and Image
"... The security involve have grown enormously in today’s competitive environment. In the modern world, ownership is known to be 9/10’ths of the law. Hence, it is necessary for people to protect one’s property from harms such as thefts, destruction of property, people with spiteful plan etc. Due to the ..."
Abstract
- Add to MetaCart
(Show Context)
The security involve have grown enormously in today’s competitive environment. In the modern world, ownership is known to be 9/10’ths of the law. Hence, it is necessary for people to protect one’s property from harms such as thefts, destruction of property, people with spiteful plan etc. Due to the advancement of technology, the techniques used by thieves and robbers for taking another’s property without permission have been increased. Therefore it is necessary to improve the surveillance techniques. The latest technologies used in the fight against thefts and destruction are video surveillance and monitoring. However, so far the technologies require large amount of memory to store the video. Therefore, we have developed a methodology to detect the motion in a video stream environment. Once a motion has been detected in the live stream, the software will activate a warning system and capture the frame if moving object is present in that frame for each and every movement.
Automatic Surveillance using Motion Detection
"... Abstract — The current video surveillance techniques store the complete video even if there are many idle frames in the video. To go through the complete video is a cumbersome task. The storage requirement of such videos is also huge. So we are attempting to design an application which ignores the i ..."
Abstract
- Add to MetaCart
Abstract — The current video surveillance techniques store the complete video even if there are many idle frames in the video. To go through the complete video is a cumbersome task. The storage requirement of such videos is also huge. So we are attempting to design an application which ignores the idle frames from the video, with effective and real time object detection and video surveillance system with the help of SOBEL operator algorithm, for edge detection, in order to reduce the amount of storage space and remove the redundancy from the video. The aforementioned system can be implemented using a webcam or a CCTV and an efficient algorithm to detect the motion and robustly distinguishes the changes in consecutive frames and ignores the lighting changes. Once the motion is detected, the application will send SOS and activate the alert system and start storing the video. Storing of the video will automatically come to halt when there is a stagnancy in the scene.
