The system automatically recognize activities around protected area to improve safety and security by multiplexing hundreds of video streams in real time. Object tracking method has important role in real time environment because it enables applications such as Security and surveillance to recognize people and to provide better sense of security using visual information. A novel algorithm for u...

We propose an effective online background subtraction method, which can be robustly applied to practical videos that have variations in both foreground and background. Different from previous methods which often model the foreground as Gaussian or Laplacian distributions, we model the foreground for each frame with a specific mixture of Gaussians (MoG) distribution, which is updated online fram...

This paper proposes a speech processing system based on a model of the human auditory system and a noise reduction neural network with fast Fourier transform (FFT) amplitude and phase spectrums for noise reduction under background noise environments. The proposed system reduces noise signals by using the proposed neural network based on FFT amplitude spectrums and phase spectrums, then implemen...

This paper deals with the tracking of objects in video by using segmentation and median filter based method. Intelligent visual surveillance system can be used many different methods for detection of moving targets. Advantages and disadvantages of two common algorithms frequently used in the moving target detection: background subtraction method and frame detection method are analyzed and compa...

Background modeling is an important issue in video surveillance. A sophisticated and adaptive background model can be used to detect moving objects which are segregated from the scene in each image frame of the video via the background subtraction process. Many background subtraction methods are proposed for video acquired by a stationary camera, assuming that the background exhibits stationary...

This paper proposes an accurate and fast background subtraction technique for object tracking in still camera videos. Regions of motion in a frame are first estimated by comparing the current frame to a previous one. A samplingresampling based Bayesian learning technique is then used on the estimated regions to perform background subtraction and accurately determine the exact pixels which corre...

The project suggests effective motion recognition built on background subtraction using dynamic threshold approach with mathematical morphology. Here the techniques frame differencing, dynamic threshold based detection will be used. In addition to dynamic threshold, mathematical morphology is also used within ability of greatly attenuating color dissimilarities has generated by background motio...

Moving object detection including background subtraction and morphological processing is a critical research topic for video surveillance because of its high computational loading and power consumption. This paper proposes a hardware design to accelerate the computation of background subtraction with low power consumption. A real-time background subtraction method is designed with a frame-buffe...