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In this work, a theoretical neuronal model incorporating the aggregate effect of distributed delay, in terms of excitatory and inhibitory potentials, is proposed. Monte Carlo simulation based study have been done for the proposed model. A comparative study for spiking activities of proposed model with leaky integrate-and-fire (LIF) model, neuronal model with weak delay and neuronal model with strong...
Moving object detection is an important research area in computer vision. It deals with detecting instances of moving objects of various classes (such as humans, animals, buildings, or vehicles) in digital images and frame sequences for increasing needs of security and surveillance in public or private areas. In this work, proposed improvement enhances the existing model by using some image processing...
In current scenario, the need of surveillance applications, technological improvements, and the numbers of active real-time surveillance systems are increasing continuously throughout the world. In this research work, we have presented a background subtraction based scheme for moving object detection in video frames. The proposed scheme has a strong potential for applications in consumer electronics...
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