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Real Time Multi Object Detection and Tracking Using Deep Learning

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Learn Computer Vision Using Opencv: With Deep Learning Cnns and Rnns

, you'll work with object detection, video storage and interpretation, and human detection using OpenCV. Tracking and motion is also discussed;

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Computer Vision

utilization scheme, marker matching and labeling using epipolar geometry and hand pose axis analysis, to enable real-time hand tracking under;

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Deep Learning Applications

/classification, object detection/recognition and robotic control in industrial environments. It highlights novel ways of using deep neural networks to;

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The The Computer Vision Workshop

computer vision and deep learning concepts, such as object detection, tracking, and recognition, and finally shift your focus from 2D to 3D;

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Computer Vision Projects with OpenCV and Python 3

Features Implement image classification and object detection using machine learning and deep learning Perform image classification, object;

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Deep Learning for Computer Vision

implement object detection using the real-world Pedestrian Detection scenario Learn about various problems in image captioning and how to overcome;

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Video object Tracking

, and camera motion.The work carried out implements object tracking using mean shift based algorithm and feature based algorithm for an;

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Beginning Anomaly Detection Using Python-Based Deep Learning

statistical and traditional machine learning methods for anomaly detection using Scikit-Learn in Python, the book then provides an introduction to;

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Data Mining from Multimedia and Human Behavioral Data

general framework for object category detection which achieves real-time detection speed with fast training and high accuracy. We also explore the;

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Deep Learning and Convolutional Neural Networks for Medical Image Computing

This book presents a detailed review of the state of the art in deep learning approaches for semantic object detection and segmentation;

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Deep Learning with Applications Using Python

Explore deep learning applications, such as computer vision, speech recognition, and chatbots, using frameworks such as TensorFlow and;

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Moving Object Tracking in Video Sequences

This book is an inclusive introduction to object tracking hierarchy and object tracking techniques with their mathematical background;

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Moving Objects Detection Using Machine Learning

presented system in the book is also able to handle partial occlusion during object detection and tracking. All the presented work and evaluations;

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Mastering Computer Vision with TensorFlow 2.x

, image classification, and object detection Develop deep learning models on cloud platforms and optimize them using TensorFlow Lite and the;

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Deep Learning and Edge Computing Solutions for High Performance Computing

solutions for a more personalized approach to the healthcare field. Topics include deep learning methods for applications in object detection and;

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Learning Data Mining with Python -

Harness the power of Python to develop data mining applications, analyze data, delve into machine learning, explore object detection using;

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Visual Saliency

analysis; Applications in salient object detection and eye fixation prediction. Students majoring in image processing, machine learning and;

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Deep Learning and Convolutional Neural Networks for Medical Image Computing: Precision Medicine, High Performance and Large-Scale Datasets

This book presents a detailed review of the state of the art in deep learning approaches for semantic object detection and segmentation;

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Machine Learning and Visual Perception

, face recognition, deep learning, time series recognition, image classification, and object detection.;

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Computer Vision Projects with PyTorch

in computer vision with PyTorch. Implement transfer learning and perform image classification, object detection, image segmentation, and other;

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Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches

computational intelligence in the detection and diagnosis of clinical and biomedical images, covers the automation of a system through machine learning;

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Mastering OpenCV 4 with Python

tracking, or augmented reality. Next, you'll learn machine learning techniques and concepts, understand how to apply them in real-world examples;

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Real Time Tracking of the Path of a Smart Flying Object

flying path, we will be using high speed CCTV cameras interfaced with PC and captures the real time video of the flying object and continuously;

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Advanced Deep Learning with Python

modern deep learning problems Use CNNs for object detection and image segmentation Implement generative adversarial networks (GANs) and;

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Visual Perception and Control of Underwater Robots

. Within the framework of visual perception for underwater operations, image restoration, binocular measurement, and object detection are addressed;

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Visual Perception and Control of Underwater Robots

. Within the framework of visual perception for underwater operations, image restoration, binocular measurement, and object detection are addressed;

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