637 skills found · Page 5 of 22
JoshEngels / RangeFilteredANNAlgorithms for approximate nearest neighbor search with window filters
chs74515 / PeopleCounterIn present days, people detection, tracking and counting is an important aspect in the video investigation and subjection demand in Computer Vision Systems. Providing (real time) traffic information will help improve and reduce pedestrian and vehicle traffic, especially when the data collected is learned and analyzed over a period of time, which makes its highly essential to identify people, vehicles and objects in general and also accurately counting the number of people and/or vehicles entering and leaving a particular location in real time. To perform people counting, a robust and efficient system is needed. This research is aimed at making a pedestrian traffic reporting system for certain areas and buildings around the campus to potentially help ease traffic circulation. Providing this information will be done through a developed application, which includes image processing with Open Computer Vision (OpenCV). This will show the amount of traffic in certain buildings or area over a period of time. OpenCV is a cross-platform library which can be used to develop real-time Computer Vision applications [Opencv, 2015b]. It is mainly focused on image processing, video capture and analysis including features like people and object detection. The operations performed were based on the performance and accuracy of the tracking algorithms when implemented in embedded devices such as the Raspberry Pi and the Tinker Board. The Pi Camera was used for real time vision and hosted on the embedded device. The proposed method used was conjoined with an open-source visual tracking implementation from the contribution branch of the OpenCV library and a unique technique for people detection along with different Filtering Algorithms for tracking this. The programming language of choice to implement these features (Tracking and Detection) is python and its libraries. The present work describes a standalone people counting application designed using Python OpenCV and tested on embedded devices ranging from the Raspberry Pi3 to a Tinker Board and a compatible Camera. All these were used in prototyping the design of this application. The results reported and showed that the Person-Counter system developed counted the number of people entering the designated area (down), and the number of people leaving (up).
luolinae86 / SensitiveRuby sensitive filter using DFA algorithm
FighterNan / Single Image Dehazing Four MethodsOn the one hand, this project used two classic algorithm of contrast enhancement, homomorphic filtering and contrast limited adaptive histogram equalization to accomplish the task of image dehazing. On the other hand, from the perspective of degradation model, this project used two methods based on Dark Channel Prior algorithm.
cancerit / AlleleCountSupport code for NGS copy number algorithms. Takes a file of locations and a [cr|b]am file and generates a count of coverage of each allele [ACGT] at that location (given any filter settings)
Geng-Hao / Robust Model Free Iterative Learning Control With Convergence Rate AccelerationA novel model-free iterative learning control algorithm is presented in this project to improve both the robustness against output disturbances and the tracking performance in steady-state. For model-free ILC, several methods have been investigated, such as the time- reversal error filtering, the Model-Free Inversion-based Iterative Control (MFIIC), and the Non- Linear Inversion-based Iterative Control (NLIIC). However, the time-reversal error filtering has a conservative learning rate. Other two methods, although with much faster error convergence, have either a high noise sensitivity or a non-optimized steady-state. To improve the performance and robustness of model-free ILC, in this project we apply the time-reversal based ILC algorithm and recursively accelerate its error convergence using the online identified learning filter. The effectiveness of the proposed algorithm has been validated from a numerical simulation. The proposed approach not only improves the transient response of the MFIIC, but also achieves lower tracking error in steady-state compared to that of the NLIIC.
yeomko22 / ALS ImplementationImplementation of ALS algorithm from "Collaborative Filtering for Implicit Feedback Data"
VanniZhou / DWD Sensor FusionLidar, camera, Radar multi-sensor fusion and Dynamic Weight Distribution (DWD) algorithm (ROS) . This project is able to fusion the targets of lidar, radar and camera, and assign them dynamic weights according to the Kalman filter effect. And make it running in ROS.
ruanych / Opencv 3dPoint cloud related algorithm repository, developed based on OpenCV. Include Voxel Grid Filter Sampling, Random Sampling, Farthest Point Sampling (FPS), Total Least Squares Plane Estimate, Random Sample Consensus (RANSAC), Multi-plane Detection/Segmentation in Point Cloud...
jebohndavida / KalmanFilterEmbedded Kalman Filter algorithm developed in C for ARM Cortex STM32F407
JieniChen / Recommender SystemIn this code we implement and compared Collaborative Filtering algorithm, prediction algorithms such as neighborhood methods, matrix factorization-based ( SVD, PMF, SVD++, NMF), and many others.
BohemianRhapsodyz / IMMKF INSMatlab code for GNSS/UWB/INS sub-model switching algorithm integrated navigation simulation using IMM-Kalman filter
sfilip / FirpmA scalable C++ implementation of the Parks-McClellan algorithm for designing FIR filters
TheVaffel / Spatiotemporal Variance Guided FilteringA simple implementation of the Spatiotemporal Variance-Guided Filtering (SVGF) algorithm by Schied. et al
SpaceLearner / JGCFA simple, efficient and effective Jacobi polynomial-based graph collaborative filtering algorithm.
sbiswas8 / Estimation AlgorithmsEstimation-algorithms includes MATLAB functions for the EKF, UKF, Particle Filter, and their computationally efficient variants.
shizenglin / Unsharp Mask Guided FilteringCode for "Unsharp Mask Guided Filtering, IEEE Transactions on Image Processing, 2021"
Hazrat-Ali9 / Spam Email Detection System🤖 Spam 🤡 Email 🤢 Detection 🥶 System 🍑 is a Machine 🍎 Learning 🍏 project 🫒 that detects 🏘 classifies 🏯 emails as 🕍 Spam or 🚞 Ham It 🚋 demonstrates 🚟 how Natural ✈ Language 🚀 Processing 🛸ML algorithms 🚁 can be 🚠 applied to ⛴ text data to 🛼 build a reliable 🚒 email filtering 🚊 system enhancing 🏰 cybersecurity 🏪 productivity 🏦
mohitmewara / Noise Cancellation LMS Adaptive FilterThis project implements an adaptive filter which cancels the noise from a corrupted signal using normalized least mean square algorithm.
Hazrat-Ali9 / SMS Spam Filtering Via Text Mining And Supervised Learning⚽ SMS Spam ⚾ Filtering Text 🎮 Mining ⛸ Supervised 🏉 Learning ✈ is a machine 🚃 learning 🚀 designed to 🛬 detect and 🚁 filter spam 🚢 messages from ⛱ genuine ones 🍊combining 🍏 text 🫑 mining 🍑 techniques 🍔 supervised 🦁 learning 🦊 algorithms 🦫 this 🐸 demonstrates 🐳 Natural 🪲 Language 🌺 Processing 🐲 applied 🦜improve 🐔communication 🦈
