This paper presents a technique for motion detection that incorporates several innovative
mechanisms. For example, our proposed technique stores, for each pixel, a set of values …

Background modeling and foreground detection are important steps in video processing
used to detect robustly moving objects in challenging environments. This requires effective …

Moving shadow elimination plays an important role in the field of moving object detection.
However, the accuracy of shadow elimination is an open question, due to illumination and …

The availability of an initial background model that describes the scene without foreground
objects is the prerequisite for a wide range of applications, ranging from video surveillance …

Separation of video clips into foreground and background components is a useful and
important technique, making recognition, classification, and scene analysis more efficient. In …

Background identification is a common feature in many video processing systems. This
paper proposes two hardware implementations of the OpenCV version of the Gaussian …

This paper presents a hierarchical scheme with block-based and pixel-based codebooks for
foreground detection. The codebook is mainly used to compress information to achieve a …

We present a novel interactive image segmentation approach with user scribbles using
constrained Laplacian graph optimization. A novel energy framework is developed by …

In this paper, a pixel-based background modeling method, which uses nonparametric kernel
density estimation, is proposed. To reduce the burden of image storage, we modify the …

This paper proposes a vision-based motorcycle monitoring system to detect and tracking
motorcycles. The system proposes an occlusion detection and segmentation method. The …