A library of trajectory region of interest mining algorithms
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Updated
May 21, 2018 - Java
A library of trajectory region of interest mining algorithms
AI software for X-ray fluorescence imaging regions of interest detection.
JASOn_Extraction_Points and using these points Polygon drawn on video and only those region shown Optical Flow.
Create region of interest from frames and vehicle detection
Region of Interest detection on satellite images for weather changes
A Region of Interest mask and Color Selection over Lane Lines
Matlab scripts for analyzing calcium imaging data presented in "Neural Coding of Leg Proprioception in Drosophila" (Mamiya, Gurung, and Tuthill (2018) Neuron: DOI:https://doi.org/10.1016/j.neuron.2018.09.009)
Push features to OSM taked from satellite images.
Prediction of DME eye disease
Unofficial implementation of the EmotionROI essay and extended applications
Finding Lane Lines
Preprocessing images with focus on segmentation of CT slices
Lane detection is a crucial step in training autonomous driving cars. It helps identify and avoid entering other lanes by analyzing visual input. Lane recognition algorithms play a vital role in ADAS and autonomous vehicle systems. They accurately detect lane locations and borders, contributing to safe and reliable navigation.
Multi-View Region of Interest Prediction for Autonomous Driving Using Semi-Supervised Labeling
A simple yet effective approach to detecting visual anomalies
Finding Lane Lines on the Road (project 1 of 9 from Udacity Self-Driving Car Engineer Nanodegree)
The project take video that contains one hand moving gesture and by using Image Processing(Python opencv) and an alogirthm calculates code bit i.e. state of each finger if it is open(1) closed(0) or half open(0.5) calculates the direction of movement of the object of interest i.e. hand and maps it a corresponding word that is defined in a small …
Optical Flow_Python
Create a moving object detection and tracking program using MATLAB & Python.
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