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Esttelle/Street-View-House-Numbers-SVHN-Detection-and-Classification-using-CNN

A 2-CNN pipeline to do both detection (using bounding box regression) and classification of numbers on SVHN dataset.

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Esttelle/FireNET

A deep learning model for detecting fire in video and camera streams

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Esttelle/fire-detection-cnn

real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)

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Esttelle/Rubost-Chinese-License-Plate-Locate-Using-LBP-adaboost-with-CNN-regression

LBP级联+CNN 回归定位车牌

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Esttelle/Pedestrian_detection_Haar_Adaboost

This project uses Haar Descriptor and Adaboost Classifier to detect humans in a digital image.

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Esttelle/face-detection-1

based on haar features and adaboost

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Esttelle/adaboost

Adaboost Haar feature classifier cascade training

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Esttelle/Face-Detection

本科毕业设计 基于Haar特征与AdaBoost算法的人脸检测的实现

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Esttelle/lane-detection

Lane detection MATLAB code for Kalman Filter book chapter: Lane Detection

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Esttelle/Vehicle-Detection-and-Tracking

Computer vision based vehicle detection and tracking using Tensorflow Object Detection API and Kalman-filtering

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Esttelle/VideoPlayer

基于Opencv+QT的视频播放器

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Esttelle/Forest-Fire-Surveillance-Project

CS-258 Surveillance Of Forest Fires

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Esttelle/firemonitor

Fire detection using an infrared camera and opencv.

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Esttelle/fire-detection

Fire detection using OpenCV

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Esttelle/TGRS-HRRSD-Dataset

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Esttelle/object_detector

plane detection;object detection; hog_svm;中文标注

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• 1
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Esttelle/Change-Detection-In-SAR-Videos

A research development to detect changes in Synthetic Aperture Radar videos.

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Esttelle/MSDS-RCNN

''Multispectral Pedestrian Detection via Simultaneous Detection and Segmentation''. BMVC 2018.

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Esttelle/A-Light-and-Fast-Face-Detector-for-Edge-Devices

A light and fast one class detection framework for edge devices. We provide face detector, head detector, pedestrian detector, vehicle detector......

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Esttelle/pedestrian-detection

Pedestrian Detection using Non Maximum Suppression