This paper describes a supervised system for pixel-level change detection for fixed, monocular surveillance cameras. Per-pixel intensity sequences are modeled by a class of Hidden Semi-Markov Models, Duration Dependent Hidden Markov Models (DDHMMs), to accurately account for stochastically periodic phenomena prevalent in real-world video. The per-pixel DDHMMs are used to assign discrete state l...

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. In the experiment of contour detection...

Image Edge Detection is one of the most important parts of image processing. In this paper, by fuzzy technique, a new method is used to improve digital image edge detection. In this method, a 3x3 mask is employed to process each pixel by means of vicinity. Each pixel is considered a fuzzy input and by examining fuzzy rules in its vicinity, the edge pixel is specified and by utilizing calculatio...

Image Edge Detection is one of the most important parts of image processing. In this paper, by fuzzy technique, a new method is used to improve digital image edge detection. In this method, a 3x3 mask is employed to process each pixel by means of vicinity. Each pixel is considered a fuzzy input and by examining fuzzy rules in its vicinity, the edge pixel is specified and by utilizing calculatio...

This paper proposes a novel saliency detection method by combining region-level saliency estimation and pixel-level saliency prediction with CNNs (denoted as CRPSD). For pixel-level saliency prediction, a fully convolutional neural network (called pixel-level CNN) is constructed by modifying the VGGNet architecture to perform multiscale feature learning, based on which an image-to-image predict...

With the rapid development of marine business, intelligent detection ship targets has become key to safety. However, it is difficult accurately detect maritime infrared due severe sea clutter interference in strong wind waves or dim scenes. To adapt diverse environments, a dual-mode background model proposed for target detection. According global contrast image, scene divided into surface with ...

Intelligent Autonomous Systems increasingly often operate in environments inhabited by humans, like houses, public places (stations, shopping centers) or intelligent vehicles. In order to properly interact with people an intelligent system has to detect people in its environment, identify them and possibly recognize their behavior. Examples of such systems are intelligent security systems that ...