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Plant Species Recognition Using Custom-Developed Neural Network with Optimized Hyperparameters
Computer vision-based plant species recognition in unconstrained environment is challenging due to the enormous diversity in plant species,...
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Deep learned vectors’ formation using auto-correlation, scaling, and derivations with CNN for complex and huge image retrieval
Deep learning for image retrieval has been used in this era, but image retrieval with the highest accuracy is the biggest challenge, which still...
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Global Context Guided Multi-scale Feature Network for Salient Object Detection
Currently, fully convolutional network based salient object detection approaches have some challenging problems. This paper proposes a novel salient...
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CCL-Net: Complete Comprehensive Learning and Modality Preserving-Based RGBD Complex Salient Object Detection
Recently, a significant advancement in salient object detection has been achieved by utilizing depth modality and cross-complementary features fusion...
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Fire and Smoke Detection Model for Real-Time CCTV Applications
Since wildfires, whether they occur in a town or elsewhere, are among the most expensive and deadly disasters, there is a lot of research being done...
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Existing Research in Video Surveillance System
This chapter provides information on various Gaussian mixture model-based background modeling and its improvements. Also, the chapter gives...
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A Survey on Moving Object Detection in Video Using a Moving Camera for Smart Surveillance System
In real-time scenarios, the video surveillance is a highly demanding area of computer vision related activities for day to day applications due to...
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A Comparative Analysis of Real-Time Sign Language Recognition Methods for Training Surgical Robots
This project proposes a real-time robot that can interact with humans based on the gestures fed to it as input. The proposed proposal aims to develop...
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Occlusion Problem in 3D Object Detection: A Review
In computer vision, 3D object detection has numerous applications such as robotics, augmented reality (AR), medical field, manufacturing industries,...
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Performance Evaluation of Boosted 2-Stream TCRNet
Target detection in infrared imagery is a particularly challenging problem due to the presence of terrain clutter. The TCRNet-2 CNN architecture was...
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Face Recognition Using Cascading of HOG and LBP Feature Extraction
Face recognition is efficiently used in computer vision, pattern recognition, biometric, law enforcement, surveillance, criminal investigations, and...
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DEEP REINFORCEMENT LEARNING FOR MULTI-AGENT AUTONOMOUS SATELLITE INSPECTION
The commodification of space is resulting in larger numbers of satellites requiring increasingly complex operation and logistics and servicing...
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Gesture Analysis Using Image Processing: For Detection of Suspicious Human Actions
In recent years, interest in real-time video sequences for human action recognition has risen rapidly, and discrimination is required to identify...
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Research on the Style Classification Method of Clothing Commodity Images
E-commerce has a good development trend in commercial digitization. Purchasing clothing products on e-commerce platforms is also the main purchase...
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Sign Language Classification Using Deep Learning Convolution Neural Networks Algorithm
An individual experiencing hearing impairment faces a persistent challenge when it comes to person-to-person interactions. Sign language has...
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Segmentation of Cattle Using Color-Based Skin Detection Approach
Since long time, skin detection has been primarily required in the detection and tracking of human faces, gesture analysis, content-based image...
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A Vision-Based System Facilitating Communication for Paralytic Patients
Locked-in syndrome is a critical and a rare neurological disorder characterized by the complete paralysis of all voluntary muscles except the...
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Computation-Aware Adaptive Planning and Scheduling for Safe Unmanned Airborne Operations
Modern unmanned aerial vehicles (UAVs) rely on high-frequency periodic sensor measurements in order to safely operate in cluttered environments with...
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L-BFGS Optimization-Based Human Body Posture Rectification—A Smart Interaction for Computer-Guided Workout
Human pose estimation possesses a significant potential in reducing the cases of injuries sustained during strenuous physical activities like gym...
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Rain and Snow Removal
Raining and snowing have negative effects on the visual quality and degrade the performance of various vision algorithms in outdoor environment. In...