With current 30-MHz intravascular ultrasound systems, flowing blood may cause considerable backscatter which in real-time images is characterized by dynamic speckle. However, in a single intravascular ultrasound image (still-frame) the discrimination between arterial lumen and wall may be difficult due to the frozen intraluminal speckle, particularly in the presence of dissections. We compared ...

The estimation of the background image from a video sequence is necessary in some applications. Computing the median for each pixel over time is effective, but it fails when the background is visible for less than half of the time. In this paper, we propose a new method leveraging the segmentation performed by a background subtraction algorithm, which reduces the set of color candidates, for ea...

Identifying moving objects from a video sequence is a fundamental and critical task in many computer-vision applications. A common approach is to perform background subtraction, which identifies moving objects from the portion of a video frame that differs significantly from a background model. There are many challenges in developing a good background subtraction algorithm. First, it must be ro...

In recent decades, many government agencies and famous universities are researching the intelligent traffic video monitoring system. According to the tunnel monitoring video, this paper uses the combination of background subtraction method and three frame differencing method for moving vehicle detection , and designs the geometric parameters and combined parameters for vehicle classification, f...

The video frame mainly consists of foreground and background objects. For effective detection and tracking of moving objects background subtraction is a very important part of surveillance applications for successful segmentation of objects from video sequences. In this paper we mainly survey these methods for autonomous detection and tracking of moving objects.

Traditional background subtraction methods perform poorly when scenes contain dynamic backgrounds such as waving tree, spouting fountain, illumination changes, camera jitters, etc. In this paper, a novel and effective dynamic background subtraction method is presented with three contributions. First, we present a novel local dependency descriptor, called local dependency histogram (LDH), to eff...

motion analysis and quality assessment of human sperm cell is of great importance for clinical applications of male infertility. sperm tracking is quite complex due to cell collision, occlusion and missed detection. the goal of this study is simultaneous tracking of multiple human sperm cells. in the first step in this research the frame difference algorithm is used for background subtraction. ...

In this paper, an omnidirectional camera and a movable PTZ (Pan, Tilt, Zoom) camera are utilized to the proposed indoor surveillance system. The traditional foreground-background extraction method and frame difference method are combined together in this paper; the combined method not only can ignore noises generated form background subtraction and focus on moving objects but also can eliminate...

We propose an automatic monitoring system which detects and tracks intruders, using a pan-tiltzoom camera. Detection is based on a background subtraction method which detects the difference between input image and continuously updated background images. Tracking is based on a newly developed algorithm incorporating two complementary methods: template matching and frame difference. When both met...