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Air quality estimation is an important and fundamental problem in environmental protection. Several efforts have been made in the past decades using expensive sensor-based or indirect methods like based on social networks; however, image-based air pollution estimation is still far from solved. This paper devises an effective convolutional neural network (CNN) to estimate air quality based on images...
This paper introduces a bi-prediction scheme with only a motion overhead as for unidirectional prediction. It combines motion vectors found by template and block matchings with the overlapped block motion compensation (OBMC). An optimal window function is designed based on a model-based framework. Additionally, the concept of adaptive motion merging is incorporated to enable a template-matching-free...
This paper addresses the problem of improving motion sampling efficiency for motion-compensated prediction (MCP). We provide a theoretical framework for analyzing the effect of motion sampling structure on MCP efficiency. It is shown that the sampling grid induced by the quadtree partition in H.264/AVC is suboptimal. To improve sampling efficiency, we propose a new pattern, which provides sampling...
For autonomous vehicles and video-based navigation systems it is necessary to determine position of the ego vehicle relative to the road. One of the principal approaches is to detect lanes using a vision system in the vehicle. In this paper we propose a general method for lane detection that combines steerable filters developed by Freeman and Adelson with Canny edge detection algorithm. The steerable...
In this paper, we utilized machine vision and image processing to develop an image detection flow for the dimension and appearance of multilayer ceramic capacitors (MLCC), and also used proposed automatic optical inspection (AOI) system in the MLCC production line operation. We compared the advantages and disadvantages of Hough Transform and Histogram analysis. The proposed tiny passive components...
A new impulse detection and filtering algorithm is proposed for restoration of images that are highly corrupted by impulse noise. It is based on the minimum absolute value of four convolutions obtained by one-dimensional Laplacian operators. The proposed algorithm can effectively remove the impulse noise with a wide range of noise density and produce better results in terms of the qualitative and...
A biologically inspired foveated attention system in an object detection scenario is proposed. Thereby, a high-performance active multi-focal camera system imitates visual behaviors such as scan, saccade and fixation. Bottom-up attention uses wide-angle stereo data to select a sequence of fixation points in the peripheral field of view. Successive saccade and fixation of high foveal resolution using...
The paper analyses the common tension measurement method. As to the spinning drop method which suitable for low or ultra-low oil interface, a tension measurement system using linear CCD and bearingless SRM (switched reluctance motor) based on embedded processor S3C2410 is designed in this paper. TCD141C CCD is adopted and drove by signal produced by S3C2410. The processor also completes the arithmetic...
This paper proposes a new approach to detect the falling of the elderly based on intelligent space. The system can recognize the falling action by use of multi-sensor information in intelligent space. The detection system uses the image processing system to process images which captured from camera. After the silhouettes are obtained, we extract features that recognition falling needs. The surroundings...
This paper helps define infrared (IR) imaging as a complementary tool to high-speed computer tomography (CT) in the diagnosis of severe acute respiratory syndrome (SARS). We refer to the images captured from IR imaging as thermal texture maps (TTM). Although IR imaging has been criticized of generating high false alarm rate for the lack of quantitative measurement on the size, depth, and shape information...
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