Detecting and discriminating humans in video frames for surveillance applications is a demanding task. Identifying highlighting by eliminating shadows from the vital prudence motive. In this paper, three-step procedure proposed, which includes motion detection background subtraction live frames, morphological gradient-based shadow removal, human Hybrid Feature Set (HFS), comprises Histogram Ori...

Anomaly detection (AD) in hyperspectral target is of particular interest because no prior knowledge ground object spectra required. However, it difficult to utilize the salient features image (HSI) and mitigate effects noise AD, which greatly limits performance. Here, we report a strategy implement AD by visual attention model background subtraction with adaptive weight. Through band selection ...

A scheme combining multichannel crosstalk resistant adaptive noise cancellation (MCRANC) algorithm and improved spectrum subtraction (ISS) algorithm is presented to enhance noise carrying speech signals. The scheme would permit locating the microphones in close proximity by virtue of using MCRANC which has the capability of removing the crosstalk effect. MCRANC would also permit canceling out n...

Our aim in this paper is to introduce the notion of fuzzy soft near-subtraction semigroups and fuzzy soft ideals of near-subtraction semigroups. We discuss some important properties of these new fuzzy algebraic structure and investigate some examples and counter examples.

Detection is an inherent part of every advanced automatic tracking system. In this work we focus on automatic detection of humans by enhanced background subtraction. Background subtraction (BS) refers to the process of segmenting moving regions from video sensor data and is usually performed at pixel level. In its standard form this technique involves building a model of the background and extr...

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...

In this research, we present a novel dynamic background modeling method based on reconstructed 3D shapes, which can solve background modeling problems of multi-camera in real-time. While 3D shape reconstruction is a popular technology widely used for detecting, tracking or identifying various objects, little effort has been made in applying this useful method to background subtraction. In this ...

our aim in this paper is to introduce the notion of fuzzy soft near-subtraction semigroupsand fuzzy soft ideals of near-subtraction semigroups. we discuss some important properties of these new fuzzy algebraic structure and investigate some examples and counter examples.