Search Results - (( vehicle detection system algorithm ) OR ( data classification based algorithm ))*

Development Of Algorithms For Vehicle Classification And Speed Estimation From Dynamic Scenes By On-Board Camera Using Image Processing Techniques by Aminuddin, Nur Shazwani

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3D LiDAR Vehicle Perception and Classification Using 3D Machine Learning Algorithm by Yong, Ericsson, Muhammad Aizzat, Zakaria, Mohamad Heerwan, Peeie, M. Izhar, Ishak

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Measuring height of high-voltage transmission poles using unmanned aerial vehicle (UAV) imagery by Qayyum A., Malik A.S., Saad N.M., bin Abdullah M.F., Iqbal M., Rasheed W., Bin Ab Abdullah A.R., Hj Jaafar M.Y.

“…Aerial photography; Classification (of information); Cost effectiveness; Electric power transmission; Graphic methods; Object detection; Poles; Remote sensing; Stereo image processing; Vehicle transmissions; Depth Map; Disparity map; Global information systems; Graph cut; High voltage transmissions; Ortho-rectification; Remote sensing applications; Stereo matching algorithm; Unmanned aerial vehicles (UAV)…”

Pengesan lalu lintas dengan kaedah pemerosesan imej by Riza Atiq O.K.Rahmat, Kasmiran Jumari, Azmi Hassan, Hassan Basri

“…Recently cameras and image processing with high-speed computers were beginning to be adopted for traffic surveillance system. This study was conducted to develop efficient traffic detector using image-processing with a personal compute I: Traffic images were captured using ordinary analogue video camera and digitised using a video blastel: Four algorithms were developed i. e. algorithm for traffic counting, algorithm for vehicle classification. algorithm to determine the speed of the counted vehicles and algorithm for incident detection. …”
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Development of vehicle counting system by using background subtraction technique / Muhammad Fadhli Md Azemin by Md Azemin, Muhammad Fadhli

“…The objective on this research is to test and analyses the best technique on vehicle detection and identify the classification technique to detect vehicle efficiency. …”
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Optimizing in-car-abandoned children’s sounds detection using deep learning algorithms / Nur Atiqah Izzati Md Fisol by Md Fisol, Nur Atiqah Izzati

“…To address this problem, an optimized in-car-abandoned children's sounds detection model using deep learning algorithms is proposed. The objective of this study is to develop an accurate and efficient model capable of recognizing the presence of children in cars based on sound data. …”
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Application Of Multi-Layer Perceptron Technique To Detect And Locate The Base Of A Young Corn Plant by Morshidi, Malik Arman

“…In this research, a vision system algorithm has been developed to identify and locate base of young corn trees based upon robot vision technology, pattern recognition techniques, and knowledge-based decision theory. …”
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Measuring height of high-voltage transmission poles using unmanned aerial vehicle (UAV) imagery by Qayyum, A., Malik, A.S., Saad, N.M., bin Abdullah, M.F., Iqbal, M., Rasheed, W., Bin Ab Abdullah, A.R., Hj Jaafar, M.Y.

“…The authors propose an UAV approach that utilises a digital surface model and incorporates a stereo matching algorithm based on UAV stereo images. The proposed algorithm was based on a graph-cut (GC) algorithm that measured the disparity map. …”
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An agent architecture for autonomous UAV flight control in object classification and recognition missions by Mostafa S.A., Mustapha A., Gunasekaran S.S., Ahmad M.S., Mohammed M.A., Parwekar P., Kadry S.

“…The AFC agent performs search and survey missions that entail commanding the UAV while performing object classifications and recognition tasks. The agent implements several image handling algorithms to detect and identify objects from their colors and shapes. …”

Detection and Classification of Moving Objects for an Automated Surveillance System by Md. Tomari, Mohd Razali

“…The applied post processing module capable to remove noise and shadow from the detected objects with less than 1% of error. Finally, classification algorithm that makes use of the extracted moment values from the detected objects successfully categorize objects into pre-defined classes of human and vehicle with 89.08% of accuracy. …”
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Detection and classification of moving objects for an automated surveillance system by Md Tomari, Mohd Razali

“…The applied post processing module capable to remove noise and shadow from the detected objects with less than 1% of error. Finally, classification algorithm that makes use of the extracted moment values from the detected objects successfully categorize objects into pre-defined classes of human and vehicle with 89.08% of accuracy. …”
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Comparative study of informative acoustic features for VTOL UAV faulty prediction using machine learning by Mohd Sani, Fareisya Zulaikha, Makhtar, Siti Noormiza, Mohd Nor, Elya, Kamarudin, Nur Diyana, Md Ali, Syaril Azrad, Md Ali, Kurnianingsih

“…Medium tree, Gaussian Naive Bayes and Ensemble Subspace k Nearest Neighbour algorithms are used for classification performance comparison. …”
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Traffic Detectors Using Image Processing Method (Pengesan Lalu Lintas Dengan Kaedah Pemprosesan Imej) by Hassan, Azmi, Basri, Hassan, Rahmat, Riza Atiq, Kasmiran, Jumari

“…Four algorithms were developed i.e. algorithm for traffic counting, algorithm for vehicle classification, algorithm to determine the speed of the counted vehicles and algorithm for incident detection. …”
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Robust and reliable dual the classification system with error compensation module by Ahmad Nasiruddin, Ab Razak

“…The system uses treadle sensors to map tires and count the number of axles while the optical barrier is used to detect the presence of vehicle. …”
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Image classification based on sparse-coded features using sparse coding technique for aerial imagery: a hybrid dictionary approach by Qayyum A., Saeed Malik A., Saad N.M., Iqbal M., Abdullah M.F., Rasheed W., Abdullah T.A.B.R., Bin Jafaar M.Y.

“…Aerial photography; Aircraft detection; Antennas; Codes (symbols); Discrete cosine transforms; Discrete wavelet transforms; Glossaries; Image classification; Image coding; Image enhancement; Learning algorithms; Learning systems; Object recognition; Remote sensing; Satellite imagery; Satellites; Unmanned aerial vehicles (UAV); Discrete tchebichef transforms; Discriminative features; Finite Ridgelet Transform; Histogram of oriented gradients; Image processing and computer vision; Scale invariant feature transforms; SIFT; Sparse coding; Classification (of information)…”

Detection and classification of moving objects for an automated surveillance system by Md Tomari, Mohd Razali

“…The applied post processing module capable to remove noise and shadow from the detected objects with less than 1% of error. Finally, classification algorithm that makes use of the extracted moment values from the detected objects successfully categorize objects into pre-defined classes of human and vehicle with 89.08% of accuracy. …”
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An object-based approach to detect tree stumps in a selective logging area using Unmanned Aerial Vehicle imagery by Aisyah Marliza Muhmad Kamarulzaman, Wan Shafrina Wan Mohd Jaafar, Siti Nor Maizah Saad, Hamdan Omar, Mohd. Rizaludin Mahmud

“…This research implemented a technique for detecting, segmenting, classifying, and measuring tree stumps by using the Multiresolution Segmentation Algorithm method. …”
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A real time deep learning based driver monitoring system by Mohd Hanafi, Mohamad Faris Fitri, Md. Nasir, Mohammad Sukri Faiz, Wani, Sharyar, Abdulghafor, Rawad Abdulkhaleq Abdulmolla, Gulzar, Yonis, Hamid, Yasir

“…Some researchers have focused on developing mobile engines based on machine learning algorithms for detecting driver drowsiness. …”
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A real time deep learning based driver monitoring system by Wani, Sharyar, Fitri, Mohamad Faris, Abdulghafor, Rawad Abdulkhaleq Abdulmolla, Faiz, Mohammad Syukri, Sembok, Tengku Mohd

“…Some researchers have focused on developing mobile engines based on machine learning algorithms for detecting driver drowsiness. …”
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An acquisition and a modulated recognition system for driver profiling in Malaysia / Ward Ahmed Alaulddin Al-Hussein by Ward Ahmed Alaulddin , Al-Hussein

“…The results have shown that CNN outperformed the other two classification algorithms in terms of accuracy, precision, recall, and f-measure and was therefore selected for a recognition system that, in combination with the acquisition system, would assist traffic police and insurance firms in detecting unsafe driving behaviors. …”
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