Computer Vision and Image Processing
Springer Verlag, Singapore
978-981-16-1102-5 (ISBN)
The 134 papers papers were carefully reviewed and selected from 352 submissions. The papers present recent research on such topics as biometrics, forensics, content protection, image enhancement/super-resolution/restoration, motion and tracking, image or video retrieval, image, image/video processing for autonomous vehicles, video scene understanding, human-computer interaction, document image analysis, face, iris, emotion, sign language and gesture recognition, 3D image/video processing, action and event detection/recognition, medical image and video analysis, vision-based human GAIT analysis, remote sensing, and more.
U-Net-Based Approach for Segmentation of Tables from Scanned Pages.- Air Writing: Tracking and Tracing.- Mars Surface Multi-Decadal Change Detection using ISRO’s Mars Color Camera (MCC) and Viking Orbiter Images.- Deep Over and Under Exposed Region Detection.- DeepHDR-GIF: Capturing Motion in High Dynamic Range Scenes.- Camera Based Parking Slot Detection For Autonomous Parking.- Hard-Mining Loss based Convolutional Neural Network for Face Recognition.- Domain Adaptive Egocentric Person Re-identification.- Scene Text recognition in the wild with motion deblurring using deep networks.- Vision based Autonomous Drone Navigation through enclosed spaces.- Deep Learning-based Smart Parking Management System and Business Model.- Design and Implementation of Motion Envelope for a Moving Object using Kinect for Windows.- Software Auto Trigger Recording for Super Slow Motion Videos using Statistical Change Detection.- Using Class Activations to Investigate Semantic Segmentation.- Few Shots Learning: Caricature to Image Recognition using Improved Relation Network.- Recognition of Adavus in Bharatanatyam Dance.- Digital Borders: Design of an Animal Intrusion Detection System based on Deep Learning.- Automatic On-Road Object Detection in LiDAR-Point Cloud Data using Modified VoxelNet Architecture.- On the Performance of Convolutional Neural Networks under High and Low Frequency Information.- A Lightweight Multi-Label Image Classification Model Based on Inception Module.- Computer Vision based Animal Collision Avoidance Framework for Autonomous Vehicles.- L2PF - Learning to Prune Faster.- Efficient Ensemble Sparse Convolutional Neural Networks with Dynamic Batch Size.- Inferring Semantic Object Affordances from Videos.- An Unsupervised Approach for Estimating Depth of Outdoor Scenes from Monocular Image.- Age and Gender Prediction using Deep CNNs and Transfer Learning.- One Shot Learning Based Human Tracking in Multiple Surveillance Cameras.- Fast road sign detection and recognition using colour-based thresholding.- Dimensionality Reduction by Consolidated Sparse Representation and Fisher Criterion with Initialization for Recognition.- Deep Learning and Density Based Clustering Methods for Road Traffic Prediction.- Deep learning based Stabbing Action Detection in ATM Kiosks for intelligent Video Surveillance Applications.- An algorithm for semantic vectorization of video scenes.- Applications to Retrieval and Anomaly detection.- Meta-tracking and Dominant Motion Patterns at the Macroscopic Crowd Level.- Digital Video Encryption by Quasigroup on System on Chip (SoC).- Detection based Multipath Correlation Filter for Visual Object Tracking.- Graph-based depth estimation in a monocular image using constrained 3D wireframe models.- AE-CNN based Supervised Image Classification.- Ensemble based Graph Convolutional Network for Semi supervised learning.- Regularized Deep Convolutional Generative Adversarial Network.- A Novel Approach for Video Captioning based on Semantic Cross Embedding and Skip-Connection.- Dual Segmentation Technique for Road Extraction on Unstructured Roads for Autonomous Mobile Robots.- Edge based Robust and Secure Perceptual Hashing Framework.- Real-Time Driver Drowsiness Detection Using GRU with CNN Features.- Detection of Concave Points in Closed Object Boundaries Aiming at Separation of Overlapped Objects.- High Performance Ensembled Convolutional Neural Network for Plant Species Recognition.
| Erscheinungsdatum | 06.04.2021 |
|---|---|
| Reihe/Serie | Communications in Computer and Information Science ; 1378 |
| Zusatzinfo | 221 Illustrations, color; 53 Illustrations, black and white; XIV, 543 p. 274 illus., 221 illus. in color. |
| Verlagsort | Singapore |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
| Mathematik / Informatik ► Informatik ► Netzwerke | |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Schlagworte | Applications • Computer Science • conference proceedings • Informatics • Research |
| ISBN-10 | 981-16-1102-5 / 9811611025 |
| ISBN-13 | 978-981-16-1102-5 / 9789811611025 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
aus dem Bereich
