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Traffic panels contain rich text and symbolic information for transportation and scene understanding. Fast detection of traffic panels facilitates text information extraction but has been paid little attention by the community. In this paper, we propose a fast and robust approach for rectangular traffic panel detection from traffic scene images. Considering the rectangular shape of traffic panels,...
A major cause of deaths among the elderly relates to accidental falls. Such falls are of particular medical concern to this population because they often result in severe injuries, since senior citizens usually live alone and cannot ask for help when accidents happen. In this paper, we propose a fall detection system with the help of a Gaussian mixture background model to build the background before...
Space-filling visualization techniques have proved their capability in visualizing large hierarchical structured data. However, most existing techniques restrict their partitioning process in vertical and horizontal direction only, which cause problem with identifying hierarchical structures. According to Gestalt research, limiting tree map visualisation to rectangles blocks the utilisation of human...
This paper introduces a vision-based motion capture system. Motion capturing technology consists of two categories: model-based tracking and example-based indexing. The motion capturing systems face two challenges: parameter estimation in high-dimensional space and self-occlusion. Our algorithm extends the locality sensitive hashing (LSH) method to find the approximate examples and then estimates...
There are two different people counting methods: (1) counting people across a detecting line in certain time duration and (2) estimating the total number of people in some region at certain time instance. This paper presents a new approach to count the number of people crossing a line of interest (LOI). First, the foreground object silhouettes are extracted described as blobs. Second, we generate...
This paper presents a novice method for human and car identification in H.264/AVC compressed video domain. By analyzing the shape and motion vector homogeneity of the segmented objects, we can identify car and human. Our system consists of three main processes: (1) Moving object segmentation based on clustering MVs and Markov Random Field (MRF) iteration, (2) Feature Extraction based on motion analysis...
Real-time segmentation of scene into foreground and background is an important issue for many applications. Different from previous codebook (CB) methods, this paper introduces a hybrid CB model by combining the mixture of Gaussian (MOG) method and the CB method. It can be used to solve the problems of moving background and shadow/highlight on the background and background. Our method avoids extracting...
How to optimize OPC Group Management is the most frequently asked question when integrating OPC with a SCADA system. Group management assumes that the OPC client has the information to partition OPC items into homogeneous OPC groups with optimal configuration parameters, such as update rate or deadband. In reality, supervised group management mandates an empirical configuration which often leads to...
This paper presents a new method to detect slip and fall events by analyzing the integrated spatiotemporal energy (ISTE) map. ISTE map includes motion and time of motion occurrence as our motion feature. The extracted human shape is represented by an ellipse that provides crucial information of human motion activities. We use this features to detect the events in the video with non-fixed frame rate...
Highlighting was the basic viewing control mechanism in computer graphics and visualization to guide users' attention in reading diagrams, images, graphs and digital texts. As the rapid growth of theory and practice in information visualization, highlighting has extended its role that acts as not only a viewing control, but also an interaction control and a graphic recommendation mechanism in knowledge...
In order to retrieve the character images but avoid the OCR system which is limited in some application, a method for Chinese characters retrieval is presented in this paper. It firstly extracts the improved contour feature of Chinese character images, which is used to match roughly. Then, the candidate character images attained above are divided by the centroid of each one. For each part divided,...
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