Background subtraction: Experiments and improvements for ViBe

Abstract

Motion detection plays an important role in most video based applications. One of the many possible ways to detect motion consists in background subtraction. This paper discusses experiments led for a particular background subtraction technique called ViBe. This technique models the background with a set of samples for each pixel and compares new frames, pixel by pixel, to determine if a pixel belongs to the background or to the foreground.In its original version, the scope of ViBe is limited to background modeling. In this paper, we introduce a series of modifications that alter the working of ViBe, like the inhibition of propagation around internal borders or the distinction between the updating and segmentation masks, or process the output, for example by some operations on the connected components. Experimental results obtained for video sequences provided on the workshop site validate the improvements of the proposed modifications.

Background Subtraction on Embedded Hardware

“…A somewhat similar refinement method is proposed by Van Droogenbroeck et al [170]. Both [138] and [170] distinguish between a segmentation mask, the binary output image which corresponds to the background/foreground classification result, and the updating mask.…”

“…Both [138] and [170] distinguish between a segmentation mask, the binary output image which corresponds to the background/foreground classification result, and the updating mask. The updating mask corresponds to locations indicating which pixels have to be updated.…”

“…These methods are a basic background subtraction method with a forgetting constant of 0.002, ViBe [6] and ViBe+ [170]. Note that ViBe+ is a method which already has a postprocessing stage.…”

Human Abnormal Behavior Detection Based on Region Optical Flow Energy

“…Extract the foreground areas from the video sequence by ViBe algorithm [11][12][13][14], then using the nearest neighbor method to mark the foreground regions; Calculate the optical flow motion region, and on the regional energy flow weighted, through the weighted proportion of energy flow to determine the behavior whether it is abnormal. And through the video sequence that in different scenarios to test to verify the validity of this method.…”

Background Subtraction for Moving Cameras

“…In this chapter, we elaborate on a background subtraction technique named ViBe, that has been described in three previous papers [1,2,37], and three granted patents [34,35,36]. After some general considerations, we describe the principles of ViBe in Section 2.…”