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The objective is to develop a probabilistic approach for vision-based fire detection in videos. The proposed method analyzes the frame-to-frame changes of specific low-level features describing potential fire regions. These features are color, area size, surface coarseness, boundary roughness, and skewness within estimated fire regions. Because of flickering and random characteristics of fire, these...
Light occlusions are one of the most significant difficulties of photometric stereo methods. When three or more images are available without occlusion, the local surface orientation is overdetermined so that shape can be computed and the shadowed pixels can be discarded. In this paper, we look at the challenging case when only two images are available without occlusion, leading to a one degree of...
Traffic Signs provide drivers with very valuable information about the road, in order to make driving safer and easier. They are designed to be easily recognized by human drivers mainly because their color and shape are very different from natural environments. Automatic traffic sign detection and recognition is important in the development of unmanned vehicles, and is expected to provide information...
Based on the sequential video frame, a method to detect the traffic sign was proposed. The color image was mapped from RGB to improved HSI color space first, and then converted it to binary image according the color of signs. The shape features were used to remove some noise, and the improved Hough transform was used to locate the areas of traffic signs. Compared to the existed detection algorithm,...
Maximally Stable Extremal Region (MSER) has been proved to be a powerful local invariant feature. The original MSER detector only utilizes the intensity space. To get more information from a color image, it is naturally to extract MSERs from H, S and I spaces, or other color spaces. However, the increased MSER set inevitably bring in some unstable MSERs, and this will contaminate the over-all reliability...
In this paper, we address the problem of dynamic hand gesture recognition from unaided video sequences. We present a novel approach based on motion trajectories of hands and hand shapes of the key frames. Firstly, the hand area is segmented by active skin color model. Then the hand motion trajectories are extracted with dynamic time warping (DTW) algorithm and the key frame of video sequences is computed...
In this paper, we propose a new algorithm for optimally adapting ellipses outlining objects of interest in order to improve the performance of a colour based tracking approach for real video sequences. We present a Lagrangian based method to integrate a regularising component into the covariance matrix to be computed. Technically, we intend to reduce the residuals between the estimated probability...
We propose to model a tracked object in a video sequence by locating a list of object features that are ranked according to their ability to differentiate against the image background. The Bayesian inference is utilised to derive the probabilistic location of the object in the current frame, with the prior being approximated from the pervious frame and the posterior achieved via the current pixel...
This paper addresses the problem of determining a person's body and head orientations while tracking the person in an indoor environment monitored by a single top-view camera. The challenging part of this problem lies in the wide range of human postures depending on the position of the camera and articulations of the pose. In this work, a two-level cascaded particle filter approach is introduced to...
Most 3D object retrieval and matching methods only consider geometric similarity. This paper introduces a novel descriptor, Shape-Colour Histograms, to match objects with similar shape and appearance. This is motivated by the requirement to concatenate captured 3D video sequences for animation production. A quantitative evaluation based on the Receiver-Operator Characteristic (ROC) curve is presented...
In this paper, we propose a method for smoke detection in outdoor video sequences. We assume that the camera is mounted on a pan/tilt device.The proposed method is composed of three steps. The first step is to decide whether the camera is moving or not. While the camera is moving, we skip the ensuing steps. Otherwise, the second step is to detect the areas of change in the current input frame against...
A vision based vehicle guidance system deals with the detection and recognition of traffic signs. Traffic sign recognition system collects information ahead on the road and helps the driver to make timely decisions, making driving safer and easier. This paper deals with the detection and shape classification of traffic signs from image sequences using color information. Color based segmentation techniques...
We describe a framework for detecting and tracking continuous ldquotrailsrdquo in images and image sequences for autonomous robot navigation. Continuous trails are extended regions along the ground such as roads, hiking paths, rivers, and pipelines which can be navigationally useful for ground-based or aerial robots. Our approach to single-image trail segmentation incorporates both bottom-up and top-down...
A method of detection and localization in lip-reading system based on least square fitting and two stage ellipse fitting was proposed in this paper. Firstly, color space transformation in simple background facial images was made to simply and fast detect skin regions and get threshold for segmenting lip area; secondly, according to two stage ellipse fitting based on least square, lip image are gained...
This paper presents detection and tracking methods for userpsilas body parts in video sequences. They are applied to detect human activities, in the case of this work, the detection of medication intake. We use a technique based on color and shape to detect the body parts and the medication bottles. Color is used for skin detection, and the shape is used to distinguish the faces from the hands and...
The background subtraction algorithm based on the YUV color space, image gradient and shape segmentation is used in this research to extract the region of interest from a real-time video surveillance camera. We choose to extract a human face from video sequence. This research has long been considered as an important and still challenging issue in video surveillance. In this paper we present an improved...
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