By construction, a video is a series of ordered frames, whose order is defined at the time of the acquisition process. Background subtraction methods then take this input video and produce a series of segmentation maps expressed in terms of foreground objects and scene background. To our knowledge, this natural ordering of frames has never been questioned or challenged. In this paper, we propos...

In this paper we present an approach for automatically detecting and tracking humans in very long video sequences. The detection is based on background subtraction using a multi-mode Codeword method. We enhance this method both in terms of representation and in terms of automatically updating the background allowing for handling gradual and rapid changes. Tracking is conducted by building appea...

We propose a novel statistical measure for robust event detection, called ’Radial Reach filter’ (RRF). The capability of detecting new objects (events) from a time-series image is an important problem of vision systems. The usual method of detecting new objects is simple background subtraction that is to subtract current image from a background image. However, simple background subtraction is s...

generally human vision system searches for salient regions and movements in video scenes to lessen the search space and effort. using visual saliency map for modelling gives important information for understanding in many applications. in this paper we present a simple method with low computation load using visual saliency map for background subtraction in video stream. the proposed technique i...

1 Department of Pediatric Surgery, Children’s Hospital of Michigan, Detroit, MI 48201, USA 2 Department of Electrical & Computer Engineering, Wayne State University, Detroit, MI 48202, USA 3 Department of Physics, Wayne State University, Detroit, MI, 48202, USA 4 Department of Natural Sciences, University of Michigan-Dearborn, Dearborn, MI 48128, USA 5 Department of Pathology, Children’s Hospit...

Previous articles have described a process for the elimination of background from fingerprint and other images by subtracting the background. Two options, f iltration and erasure, have been discussed. Channel subtraction, either in RGB (Red, Green, Blue) or HSI (Hue, Saturation, Intensity) mode, can also be effected with variable results. There exists a fourth option: substituting another item ...

Vehicle detection is an essential task in the intelligent transportation system, which will affects the performance of surveillance directly. This paper presents an approach to detect vehicle from a sequence of traffic images obtained from expressway scenes. Firstly, inter-frame difference method was used to choose some frames with small traffic flow, and then pixels detected as background are ...

Advantages and drawbacks of two common algorithms often employed in the moving target detection, background subtraction technique and frame distinction methodology are analyzed and compared during this paper. Then supported the background subtraction methodology, a BFSD target detection rule is projected. The background image used to process the next frame image is generated through superpositi...

The use of salient regions is an increasingly popular approach to image retrieval. For situations where object retrieval is required and where the foreground and background can be assumed to have different characteristics, it becomes useful to exclude salient regions which are characteristic of the background if they can be identified before matching is undertaken. This paper proposes a techniq...

Properties of the background subtraction procedure commonly used for the analysis of dilepton spectra are discussed within a simple model. It is shown that a production asymmetry between positive and negative background muons and a large multiplicity of signal pairs will lead to biased results. Therefore the applicability of this procedure for the analysis of nucleus–nucleus data should be reco...