In this paper, we introduce a novel surveillance system based on thermal catadioptric omnidirectional (TCO) vision. The conventional contour-based methods are difficult to be applied to the TCO sensor for detection or tracking purposes due to the distortion of TCO vision. To solve this problem, we propose a contour coding based rotating adaptive model (RAM) that can extract the contour feature ...

We address the problem of contour detection via per-pixel classifications of edge point. To facilitate the process, the proposed approach leverages with DenseNet, an efficient implementation of multiscale convolutional neural networks (CNNs), to extract an informative feature vector for each pixel and uses an SVM classifier to accomplish contour detection. The main challenge lies in adapting a ...

Detection and tracking of the lip contour is an important issue in speechreading. While there are solutions for lip tracking once a good contour initialization in the first frame is available, the problem of finding such a good initialization is not yet solved automatically, but done manually. Solutions based on edge detection and tracking have failed when applied on real world mouth images. In...

This paper presents a new algorithm for human segmentation in images. The human silhouette is estimated in positive windows that are already obtained with an existing efficient detection method. This accurate segmentation uses the data previously computed in the detection. First, a pre-segmentation step computes the likelihood of contour segments as being a part of a human silhouette. Then, a c...

In this paper we propose an algorithm for contour-based object detection in cluttered images. Contour of an object shape is approximated as a set of line segments and object detection is framed as matching contour segments of an image (i.e.,an edge image) to a boundary model of an object (i.e., a line drawing). Local shape is abstracted as a group of k-adjacent segments. We use a multi-level sh...

— Left ventricular segmentation is essential for measuring left ventricular function indices. Segmentation of one or several images requires an initial guess of the contour. It is hypothesized here that creating an initial guess by first detecting anatomical markers, would lead to correct detection of the endocardium. The first step of the algorithm presented here includes automatic detection o...

Dynamic programming (DP) is a popular technique for contour detection, particularly in biomedical image analysis. Although gradient information is typically used in such methods, it is not always a reliable measure to work with and there is a strong need of non-gradient based methods. In this paper we present a general framework for region based contour detection by dynamic programming. It is b...

The field of computer vision comprises various disciplines including topics such as background modeling, object tracking, and object detection. The research contained in this manuscript investigates two important aspects of computer vision, namely contour tracking and static object detection. These areas are elements of the more generic process of object analysis. The material discussed within,...

There are many aspects in the defect detection system. Any deviation any link will affect accuracy of final detection, and edge is very important image preprocessing stage. In this paper, a new algorithm proposed. Firstly, improved Sobel operator used to detect contour, then position contour taken as initial ant colony algorithm. The experimental results show that can extract with uniform thick...