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.
A new method for real-time detection and tracking of multiple moving vehicles from traffic video is proposed. This method first uses MoG and texture based model to extract foreground from the scene, then detect moving targets using a modified version of timed motion history image (tMHI), and finally uses Kalman prediction filter to track these targets, which the full moving trajectories of the targets...
Stereo vision based obstacle detection is an algorithm that aims to detect and compute obstacle depth using stereo matching and disparity map. This paper presents a robust method to detect positive obstacles including staircases in highly textured environments. The proposed method is easy to implement and fast enough for obstacle avoidance. This work is partly inspired by the work of Nicholas Molton...
It can improve the recognition rate and segmentation accuracy of moving objects in strong wind and no buildings to extract the features of trees. In this paper, the similarity criterion about the pore texture feature matching of tree crown is proposed by analyzing the pore texture feature and experimenting. The feature difference matrix of 5times5 pixels is chosen as the basic operator of tree features...
An unsolved problem in machine vision is the real time extraction of object type and position in a noisy three dimensional environment without additional non visual information. Existing algorithms do not scale well to large model databases, as would be required for true three dimensional recognition in the real world. This paper proposes a new algorithm and method of implementation to solve this...
The following topics are dealt with: computer vision and pattern recognition; optical flow and image registration; image and video search; stereo matching; image enhancement and restoration; statistical methods and learning; object detection and recognition; texture, symmetry and shape; face recognition; SFM and geometry; video analysis; image segmentation; medical image analysis; radiometry and optimization...
According to the nature scenes, a method for detecting and tracking of moving target based on Curve-Flows is proposed, which selects threshold automatically, extracts targetpsilas textures and calculates their curve-flows. It can locate static objects; estimate the movement information of those moving objects by analyzing the curve-flows fields. The method can distinguish a target that similar highly...
Robust detection of moving objects in complex and dynamic scenes is one of the most challenging issues in computer vision. In this paper, we present an approach to segmenting moving objects with nonparametric estimated local kernel histogram (ELKH) in dynamic scenes. By using the correlation and texture of spatially proximal pixels, local kernel histogram background model is constructed. Then probability...
We describe a method to automatically extract video objects, which are important for object-based indexing of videos in an MPEG-7 compliant video database system. Most of the existing salient object detection approaches detect visually conspicuous image structures, while our method aims to find regions that may be important for indexing in a video database system. Our method works on a shot basis...
One important objective in precision agriculture is to minimize the volume of herbicides that are applied to the fields through the use of site-specific weed management systems. In order to reach this goal, two major factors need to be considered: 1) the similar spectral signature, shape and texture between weeds and crops; 2) the irregular distribution of the weeds within the crop's field. This paper...
Among various skin detection methods, Skin Probability Map (SPM) method is an effective one. Though SPM method possesses high true acceptance rate (TAR), its false acceptance rate (FAR) is unacceptable in some cases. The reason is that SPM method only use pixel-level color information. This paper proposes an improved skin detection method that integrates color, texture and space information. After...
Object boundary detection and segmentation is a central problem in computer vision. The importance of combining low-level, mid-level, and high-level cues has been realized in recent literature. However, it is unclear how to efficiently and effectively engage and fuse different levels of information. In this paper, we emphasize a learning based approach to explore different levels of information, both...
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.