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Fast data-independent KLT approximations based on integer functions
The Karhunen-Loève transform (KLT) stands as a well-established discrete transform, demonstrating optimal characteristics in data decorrelation and...
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Emotion recognition of the driver based on KLT algorithm and ShuffleNet V2
Emotional monitoring was essential in the development of sophisticated automobiles with advanced driver assistance systems (ADAS) to ensure safety...
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Low-complexity rounded KLT approximation for image compression
The Karhunen–Loève transform (KLT) is often used for data decorrelation and dimensionality reduction. Because its computation depends on the matrix...
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A curvelet-based multi-sensor image denoising for KLT-based image fusion
The transform-based multi-sensor image denoising methods are inefficient in restoring fine details and texture information of noisy images. The fixed...
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KLT Bin Detection and Pose Estimation in an Industrial Environment
In order for Automated Guided Vehicles (AGV’s) to handle KLT bins (Kleinladungsträger, Small Load Carrier) in a flexible way, a robust bin detection... -
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Swarm intelligence based object tracking
Though object tracking is a very old problem still there are several challenges to be solved; for instance, variation of illumination of light,...
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Design and development of an integrated approach towards detection and tracking of iris using deep learning
Iris detection and tracking play an essential role in a wide range of real-world applications, including tracking gaze, biometric authentication,...
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Semantic hand gesture integration system using self-co-articulation and movement epenthesis detection
Recognizing hand gestures poses a formidable challenge, particularly when dealing with semantic gestures that require disentanglement prior to...
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UMTSS: a unifocal motion tracking surveillance system for multi-object tracking in videos
Multiple object detection and tracking play a very crucial role in solving several elementary problems in real-time surveillance video analysis and...
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Dynamic hand gesture recognition using combination of two-level tracker and trajectory-guided features
Hand gesture recognition system helps in development of interface system for entering text in human computer interaction. In this paper, we have...
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Simulation of a Wheelchair Control System Based on Computer Vision Through Head Movements for Quadriplegic People
People with quadriplegia rely on someone else to get around using a manual wheelchair. Using motorized wheelchairs gives them some independence and,... -
Underwater Target Tracking Algorithm Based on Optical Flow
Because of uneven underwater light and high contrast and background noise, the underwater target detection and location need higher requirements. In... -
Vision based two-level hand tracking system for dynamic hand gestures in indoor environment
Object detection and tracking is one of the most challenging phases in any image processing application. The challenges that arise during hand...
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Application of semi-circle law and Wigner spiked-model in GPS jamming confronting
Detection and reduction of global positioning system (GPS) jamming threats are inevitable considering importance of satellite navigation in different...
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Faster CNN-based vehicle detection and counting strategy for fixed camera scenes
Automatic detection and counting of vehicles in a video is a challenging task and has become a key application area of traffic monitoring and...
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A novel framework for UAV returning based on FPGA
To date, most unmanned aerial vehicle (UAV) returning technology has relied on the global positioning system (GPS). The risk is that the UAV may be...
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Human motion tracking and positioning for augmented reality
AR (Augmented reality) is a research hotspot in the current computer application field. AR technology enhances people’s understanding and experience...
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Improved mKLT and low layered HG-CNN based dynamic gesture recognition hardware system
Object tracking in videos is a critical task in computer vision. It comes with challenges due to the processing complexities and the high accuracy...
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Reversible Fragile Watermarking for Multichannel Images with High Redundancy Channels
The paper presents a methodology to protect the integrity of multichannel images, having some highly redundant channels, by means of a reversible...