The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In the Dynamic Background, due to the changes of background, it is difficult to effectively extract moving target. This paper adopts the gray projection matching algorithms to transform dynamic background into static background and then extracts the moving target using frame difference method. Meanwhile, according to the extracted position coordinates, the deflection angle of moving target between...
Detecting people carrying objects is a commonly formulated problem as a first step to monitor interactions between people and objects. Recent work relies on a precise foreground object segmentation, which is often difficult to achieve in video surveillance sequences due to a bad contrast of the foreground objects with the scene background, abrupt changing light conditions and small camera vibrations...
This paper contains one of the approaches of partial motion and out-of-focus image blur detection analysis. Discrete Fourier transform is used to distinguish blurred and unblurred areas of artificially distorted image.
We address the problem of recognizing actions in reallife videos. Space-time interest point-based approaches have been widely prevalent towards solving this problem. In contrast, more spatially extended features such as regions have not been so popular. The reason is, any local region based approach requires the motion flow information for a specific region to be collated temporally. This is challenging...
A classification-based trained motion adaptive temporal filtering scheme was proposed. The proposed method calculates class code and assigns optimal temporal filter coefficients based on pixel-wise temporal movement. The proportional-integral-derivative (PID) control concept was newly applied to enhance classifier. The proposed method involves integral and derivative terms of temporal movement as...
In order to eliminate vehicle shadow in moving vehicle detection, a novel vehicle shadow elimination approach is presented based on mark growing of multi-feature fusion. The selection of mark points and the establishment of growing rules are critical. Firstly, background model is obtained by mixture Gaussian method. Then gradient difference of foreground and background is calculated. Morphological...
Detection of moving objects in video streams is the first relevant step of information extraction in many computer vision applications. Aside from the intrinsic usefulness of being able to segment video streams into moving and background components, detecting moving objects provides a focus of attention for recognition, classification, and activity analysis, making these later steps more efficient...
This paper proposes an automatic video object segmentation with opacity estimate to obtain good alpha mattes and the foreground objects. In the proposed method, the trimap is automatically generated from the result obtained using video object segmentation based on motion information without background construction. Next, closed-form matting is used with the automatically generated trimaps to yield...
The development of an automatic human motion recognition system leads to the solution to the problems concerning the video-based applications in recognizing human activities. Such a system is to be investigated in the context of human motion analysis. Although there were a large number of researches in this area for a long time, there was little attention given to the development of a structured database...
In this paper, we propose a real-time ground plane extraction and obstacle detection technique for mobile robot navigation based on a combination of segmentation and optical flow techniques using monocular image sequences. The ground plane, which is captured using a calibrated camera, mounted on a robot platform, has been segmented in a two step process. In the first step which is an offline process,...
In this paper, we deal with the technique for detection of the location of markers on characteristic points for motion capture, and adopt the classic LED marker technique. The reason that we adopt this technique is to perform motion capture even in places where dark and light are mixed. For tracking the markers, most on-marker techniques have problems, such as difficulty in distinguishing between...
Background subtraction is widely used for extracting unusual motion of object of interest in video images. In this paper, we propose a fast and flexible approach of object detection based on an adaptive background subtraction technique that also effectively eliminates shadows based on color constancy principle in RGB color space. This approach can be used for both outdoor and indoor environments....
In this paper an adaptive Gaussian mixture model is introduced firstly to remove the shadow of regions of interest in the detection of moving human body from current video sequences. Then use a proposed method of obtaining ROI. From the view of the tracking effect, it can be concluded that this method of removal shadow of regions of interest can improve the precision rate of segment of moving people...
A moving object segmentation algorithm based on edge detection is put forward in this paper. The algorithm reconstructs background from image sequence. It uses edge detection to eliminate the disturbance of shadow, and uses Gaussian filter to eliminate noise. The background subtraction is used to extract moving object. The experimental results show that this algorithm effectually avoids the influence...
This paper describes a pedestrian detection method using a LRF and a small omni-view camera. In outdoor environment, the resolutions of LRFs are too low to recognize human reliably, and high resolution image requires high calculation cost for detecting walking persons. We propose a combination approach using these data. Particle filter based tracking and HOG (Histogram of Oriented Gradients) feature...
Motion analysis can be applied in a number of fields including, e.g. video surveillance, human-computer interaction, smart homes, etc. Due to the large amounts of data associated with usual videos, it is essential for motion analysis algorithms to be computationally efficient. In view of the remarkable efficiency of biological vision systems in dealing with visual information, we propose a motion...
Video surveillance is proposed in the paper. The three key features of abnormal behavior are represented by energy. In which the velocity of the moving target is reflected by optical flow, and the disorder feature of the motion is expressed by entropy. For the last feature, energy is used to express the relative positions of the moving targets. The experiments show the good effects of the method in...
The cast shadows on the background of the object or scene will definitely affect the recognition of the foreground objects. Due to this unavoidable problem, the performance of the successful object recognition, image analysis and object tracking algorithms would be degraded. An efficient shadow detection and removal algorithm is necessary to make the algorithms outperform in the analysis, recognition...
Road region is an important information for guidance of such objects like robots or autonomous vehicles. The goal of this research is to develop a robust monocular algorithm for extraction of road region from image sequences, captured by camera mounted on the moving objects. The key idea introduced in the first stage of this research is to express the road region in terms of probability density function...
Automatic Number Plate Recognition (ANPR) systems allow users to track, identify and monitor moving vehicles by automatically extracting their number plates. This paper presents an improved method to locate car plates in an ANPR system. The proposed method is based on morphological open and close operations where different Structuring Elements (SE) are used to maximally eliminate non-plate region...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.