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Congestion Hot Spot Identification using Automated Pattern Recognition
2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC), 2020This paper introduces a methodology which identifies congestion hot spots for individual congestion types. The proposed algorithm first isolates coherent congested clusters out of a spatio-temporally discretized speed matrix. Then, virtually driven trajectories which pass through the respective congestion area are calculated and their speed profiles ...
Barbara Karl +2 more
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Automated Recognition of Sequential Patterns in Captured Motion Streams
2010Motion capture data has been frequently used in computer animation and video games. Motions are often captured in a continuous manner such that a motion contains multiple patterns joined sequentially without obvious breakpoints between them. It is challenging to learn the captured motions as it requires both segmentation and recognition. In this paper,
Howard Leung +3 more
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IEEE Vehicular Technology Conference, 2019
We present a novel high-precision UAV localization system for interconnection between two collaborative robots, i.e., unmanned ground robot (UGR) and unmanned aerial vehicle (UAV) capable of autonomous navigation and precise localization in an indoor ...
I. Kalinov +4 more
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We present a novel high-precision UAV localization system for interconnection between two collaborative robots, i.e., unmanned ground robot (UGR) and unmanned aerial vehicle (UAV) capable of autonomous navigation and precise localization in an indoor ...
I. Kalinov +4 more
semanticscholar +1 more source
Automated alignment and pattern recognition of single‐molecule force spectroscopy data
Journal of Microscopy, 2005SummaryRecently, direct measurements of forces stabilizing single proteins or individual receptor–ligand bonds became possible with ultra‐sensitive force probe methods like the atomic force microscope (AFM). In force spectroscopy experiments using AFM, a single molecule or receptor–ligand pair is tethered between the tip of a micromachined cantilever ...
M. Kuhn +3 more
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Significance of visual limitations in automated pattern recognition applications
Pattern Recognition Letters, 1984Man-machine interaction is critical for pattern recognition; say for automatic testing or medical diagnosis. Effective interface development requires quantitative limitations of the human visual system. A comprehensive effort to apply the theory of fuzzy sets to this system problem is outlined and illustrated.
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An automated system for characterizing ultrasonic transducers using pattern recognition
IEEE Transactions on Instrumentation and Measurement, 1991The system consists of a 3D positioning mechanism, a motion controller, a pulser/receiver with gated-peak detector, a digitizing oscilloscope, a spectrum analyzer, and a host computer. Pattern recognition techniques were used to classify and reduce the dimensionality of the transducers.
J.W. Ekis, Mohammad S. Obaidat
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Automated crack pattern recognition from images for condition assessment of concrete structures
, 2021Yiqing Liu, J. Yeoh
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Automated Discrimination of Gait Patterns Based on sEMG Recognition
2013A general scheme of automated discrimination of gait patterns based on recognition of surface electromyogram of lower limbs is proposed to classify three different terrains and six different movement patterns. To verify the effectiveness of different feature extraction methods, time–frequency features such as RMS and MF, wavelet variance and matrix ...
Xiao Hao +4 more
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Automated mammogram classification using a multiresolution pattern recognition approach
Proceedings XIV Brazilian Symposium on Computer Graphics and Image Processing, 2002In order to fully achieve automated mammogram analysis one has to tackle two problems: classification of radial, circumscribed microcalcifications, and normal samples; and classification of benign, malignant, and normal samples. How to extract and select the best features from the images for classification is a very difficult task, since all of those ...
Díbio Leandro Borges +1 more
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Statistical pattern recognition for cutter positioning in automated fish processing
Proceedings of IEEE Pacific Rim Conference on Communications Computers and Signal Processing, 2002The authors present an application of computer vision and pattern recognition techniques to the problem of estimating a reference position for a robotic cutter used in the head removal stage of automated fish butchering. The image processing techniques used to locate the necessary features on the body of the fish are discussed.
Raymond G. Gosine +2 more
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