The presence of intelligent robots and machines is fundamental for our daily and professional lives. They often perform tasks that we find tedious or too difficult to do ourselves. A common such task is to understand and recognize events in images or video. One might want to track how many cars cross an intersection in a day, or if a certain person can be recognized in a crowd of people. A scen...

A sometimes annoying problem in the most internationally widespread cellular telephone system, the GSM system, is an interfering signal generated by the switching nature of TDMA cellular telephone system. A humming noise originating from the speech frames, equivalent to 160 samples of data corresponding to 20 ms at 8 kHz sampling rate is sometimes clearly audible. This paper describes a study o...

This paper presents a work we have done on the motion detection in the context of an outdoor traffic scene for visual surveillance purposes. Our motion detection algorithm is based both on background subtraction and three frame difference. We propose quite innovative solutions for denoising, blobs filling and shadow detection without exploiting any a priori knowledge. Actually, methods presente...

This paper presents a novel vision based obstacle detection algorithm that is adapted from a powerful background subtraction algorithm: ViBe (VIsual Background Extractor). We describe an adaptive obstacle detection method using monocular color vision and an ultrasonic distance sensor. Our approach assumes an obstacle free region in front of the robot in the initial frame. However, the method dy...

a generalization of the known results in fusion frames and $g$-frames theory to continuous fusion frames which defined by m. h. faroughi and r. ahmadi, is presented in this study. continuous resolution of the identity (cri) is introduced, a new family of cri is constructed, and a number of reconstruction formulas are obtained. also, new results are given on the duality of continuous fusion fram...

in order to the enhancement of the quality of speech corrupted by additive noise, a speech enhancement method has been put forward based on the combination of spectral subtraction and binary masking. spectral subtraction is a powerful method for removing noise from speech and binary masking provides essential elements to be used in monaural speech segregation. in the proposed combined method, f...

Moving object detection and tracking (MODT) is the major challenging issue in computer vision, which plays a vital role many applications like robotics, surveillance, navigation systems, militaries, environmental monitoring etc. There are several existing techniques, has been used to detect track moving Surveillance system. Therefore it necessary develop new algorithm or modified robust work bo...