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A Genetic Algorithm-Based Moving Object Detection for Real-time Traffic Surveillance
Giyoung Lee,Mallipeddi, Rammohan,Gil-Jin Jang,Minho Lee IEEE 2015 IEEE signal processing letters Vol.22 No.10
<P>Recent developments in vision systems such as distributed smart cameras have encouraged researchers to develop advanced computer vision applications suitable to embedded platforms. In the embedded surveillance system, where memory and computing resources are limited, simple and efficient computer vision algorithms are required. In this letter, we present a moving object detection method for real-time traffic surveillance applications. The proposed method is a combination of a genetic dynamic saliency map (GDSM), which is an improved version of dynamic saliency map (DSM) and background subtraction. The experimental results show the effectiveness of the proposed method in detecting moving objects.</P>
Lee, Hong-shik,Jeong, Ju Hyeong,Hong, Giyoung,Cho, Hang-Kyu,Baek, Bum Ki,Koo, Chong Min,Hong, Soon Man,Kim, Jaehoon,Lee, Youn-Woo American Chemical Society 2013 INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH - Vol.52 No.20
<P>The effect of various solvents on the de-cross-linking reaction of cross-linked polyethylene under subcritical and supercritical conditions was studied. The gel content of the de-cross-linked polyethylene decreased from 60 to 0.8–2.5% at 380 °C within 5 min in all of the solvents tested in this study. When water, ethanol, and 2-propanol were used, the <I>M</I><SUB>w</SUB> of the de-cross-linked polyethylenes decreased from 349,000 to 200,000–227,000 g/mol, and much lower <I>M</I><SUB>w</SUB> values of 70,000–90,000 g/mol were observed when acetone and diisopropyl ether were used. The de-cross-linked polyethylenes treated in the different solvents had a very similar chemical structure to raw polyethylene. According to a kinetic study using a first-order reaction model, the de-cross-linking rate in each solvent increased in the order 2-propanol < ethanol < <I>n</I>-hexane < water < methanol ≪ diisopropyl ether ≪ acetone at 350 °C.</P><P><A href='http://pubs.acs.org/doi/suppl/10.1021/ie4006194'>ACS Electronic Supporting Info</A></P>
Trajectory-based vehicle tracking at low frame rates
Lee, Giyoung,Mallipeddi, Rammohan,Lee, Minho Elsevier 2017 expert systems with applications Vol.80 No.-
<P><B>Abstract</B></P> <P>In smart cities, an intelligent traffic surveillance system plays a crucial role in reducing traffic jams and air pollution, thus improving the quality of life. An intelligent traffic surveillance should be able to detect and track multiple vehicles in real-time using only limited resources. Conventional tracking methods usually run at a high video-sampling rate, assuming that the same vehicles in successive frames are similar and move only slightly. However, in cost effective embedded surveillance systems (e.g., a distributed wireless network of smart cameras), video frame rates are typically low because of limited system resources. Therefore, conventional tracking methods perform poorly in embedded surveillance systems because of discontinuity of the moving vehicles in the captured recordings. In this study, we present a fast and light algorithm that is suitable for an embedded real-time visual surveillance system to detect effectively and track multiple moving vehicles whose appearance and/or position changes abruptly at a low frame rate. For effective tracking at low frame rates, we propose a new matching criterion based on greedy data association using appearance and position similarities between detections and trackers. To manage abrupt appearance changes, manifold learning is used to calculate appearance similarity. To manage abrupt changes in motion, the next probable centroid area of the tracker is predicted using trajectory information. The position similarity is then calculated based on the predicted next position and progress direction of the tracker. The proposed method demonstrates efficient tracking performance during rapid feature changes and is tested on an embedded platform (ARM with DSP-based system).</P> <P><B>Highlights</B></P> <P> <UL> <LI> A new vehicle tracking method is proposed for an embedded traffic surveillance system. </LI> <LI> The proposed method demonstrates efficient tracking performance at a low frame rate. </LI> <LI> The proposed method employs greedy data association based on appearance and position similarities. </LI> <LI> To manage abrupt appearance changes, manifold learning is used. </LI> <LI> To manage abrupt motion changes, trajectory information is used to predict the next probable position. </LI> </UL> </P>
Hong, Giyoung,Hong, Soon Man,Koo, Chong Min,Baek, Bum Ki,Lee, Hong-shik,Lee, Youn-Woo American Chemical Society 2015 INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH - Vol.54 No.48
<P>De-crosslinking of silane-cross-linked polyethylene (S-XLPE) in supercritical methanol was investigated. Changes in gel content and molecular weight with reaction temperature and reaction time were analyzed in a batch reactor, and kinetic parameters were calculated from the experimental data. The reaction time for de-crosslinking shortened as the reaction temperature increased and the complete de-crosslinking of S-XLPE was achieved at 320 °C and 20 min. The de-crosslinking rate of S-XLPE fit well with the first order reaction model. In addition, the molecular weight of de-cross-linked polyethylene (DXPE) decreased further as reaction temperature and reaction time increased when the reaction temperature exceeded 360 °C relative to that of the original polyethylene before being cross-linked. The decreasing molecular weight trend also fit well with the first order reaction model.</P>
Seo, Jungmok,Lee, Soonil,Han, Heetak,Jung, Hwae Bong,Hong, Juree,Song, Giyoung,Cho, Suk Man,Park, Cheolmin,Lee, Wooyoung,Lee, Taeyoon WILEY‐VCH Verlag 2013 ADVANCED MATERIALS Vol.25 No.30
<P><B>A gas‐driven ultrafast adhesion switching</B> of water droplets on palladium‐coated Si nanowire arrays is demonstrated. By regulating the gas‐ambient between the atmosphere and H<SUB>2</SUB>, the super‐hydrophobic adhesion is repeatedly switched between water‐repellent and water‐adhesive. The capability of modulating the super‐hydrophobic adhesion on a super‐hydrophobic surface with a non‐contact mode could be applicable to novel functional lab‐on‐a‐chip platforms.</P>