Wheel contour extraction from image is an important unit of any vision-based traffic accident analysis system, and automatically doing it is still a difficult task due to various distracting factors such as low contrast between the wheel and the ground, different wheel types and various weather conditions etc. In this work, a new automatic wheel extraction method is proposed, in which rather th...

This article presents a weakly supervised approach based on Markov random field model for the extraction of objects (e.g., aircrafts) in optical remote sensing images. This approach is capable of localizing and then segmenting objects in optical remote sensing images by relying only on several object samples without artificial labels. However, unlike direct combinations of object detection and ...

We describe an approach for extracting threedimensional articulated motion from unrestricted monocular video sequences. We combine feature extraction methods based on active contours with interactive adjustment. An articulated model is interactively aligned with the image in selected anchor frames. Active contour points are anchored to model segments in these frames. Occluded points are detecte...

A robust algorithm is proposed in this paper for contour extraction and tracking of moving vehicles. A snake model is modified, in which directional information is utilized to guide the snaxels’ behavior. Then an adaptive shape restriction is applied to govern the scope of the snake’s motion, and Kalman filter is employed to estimate spatio-temporal relationship between successive frames. Moreo...

Now a day’s hand written character detection plays an important role. this paper presents an overview of future extraction method for offline detection of segmented characters selective of a feature extraction method. In this paper There are two techniques for identify hand written characters those are Active character detection(ACR) and contour Algorithms .These two techniques can be implement...

Contour detection is an important and difficult task for object segmentation in computer vision mainly because contours often occur in the presence of background texture. A previously reported scheme, based on the model of cortical cells in primates, analyses the local energy output derived at a single selected scale [7]. Selection of appropriate scale for image analysis is a difficult problem ...

In this paper we present an image contour extraction strategy based on bacterial Quorum Sensing (QS). By imitating bacterial behavior, we get the bacteria or agents to navigate the image and accumulate in the areas of attraction, which correspond to special features of color. When the bacterial population begins to cluster in one or several areas of the image, the population virulence is activa...

The problem of extracting continuous structures from noisy or cluttered images is a difficult one. Successful extraction depends critically on the ability to balance prior constraints on continuity and smoothness against evidence garnered from image analysis. Exact, deterministic optimisation algorithms, based on discretized functionals, suffer from severe limitations on the form of prior const...

In this paper we introduce the first steps towards a new datadriven method for extraction of intonation events that does not require any prerequisite prosodic labelling. Provided with data segmented on the syllable constituent level it derives local and global contour classes by stylisation and subsequent clustering of the stylisation parameter vectors. Local contour classes correspond to pitch...

This paper proposes a method for the automatic extraction of building roof contours from a LiDAR-derived digital surface model (DSM). The method is based on two steps. First, to detect aboveground objects (buildings, trees, etc.), the DSM is segmented through a recursive splitting technique followed by a region merging process. Vectorization and polygonization are used to obtain polyline repres...