paper-with-me

Papers

Machine Learning Based Object Tracking

2024-01-15 · Md Rakibul Karim Akanda, Joshua Reynolds, Treylin Jackson, Milijah Gray

Machine learning based object detection as well as tracking that object have been performed in this paper. The authors were able to set a range of interest (ROI) around an object using Open Computer Vision, better known as OpenCV. Next a tracking algorithm has been used to maintain tracking on an object while simultaneously operating two servo motors to keep the object centered in the frame. Detailed procedure and code are included in this paper.

📄 PDF Abstract BibTeX arXiv:2401.07929

Code (0)

등록된 구현이 없습니다.

Tasks

Objectobject-detectionObject DetectionObject Tracking

Methods 이 논문이 사용한 방법론

SET Dynamic Sparse Training method where weight mask is updated randomly periodically

Similar Papers 제목 키워드 기반

Enhancing In-vehicle Multiple Object Tracking Systems with Embeddable Ising Machines

2024-10-18 · Kosuke Tatsumura, Yohei Hamakawa, Masaya Yamasaki, Koji Oya 외

A cognitive function of tracking multiple objects, needed in autonomous mobile vehicles, comprises object detection and their temporal association. While great progress owing to machine learning has been recently seen fo…

Combinatorial OptimizationMultiple Object Trackingobject-detectionObject Detection+1

Tracking Without Re-recognition in Humans and Machines

2021-05-27 · NeurIPS 2021 12 · Drew Linsley, Girik Malik, Junkyung Kim, Lakshmi N Govindarajan 외

Imagine trying to track one particular fruitfly in a swarm of hundreds. Higher biological visual systems have evolved to track moving objects by relying on both appearance and motion features. We investigate if state-of-…

Decision MakingObjectObject TrackingVisual Tracking

PointTrackNet: An End-to-End Network For 3-D Object Detection and Tracking From Point Clouds

2020-02-26 · Sukai Wang, Yuxiang Sun, Chengju Liu, Ming Liu

Recent machine learning-based multi-object tracking (MOT) frameworks are becoming popular for 3-D point clouds. Most traditional tracking approaches use filters (e.g., Kalman filter or particle filter) to predict object …

Multi-Object TrackingObjectobject-detectionObject Detection+1

Adaptive Objectness for Object Tracking

2015-01-05 · Pengpeng Liang, Chunyuan Liao, Xue Mei, Haibin Ling

Object tracking is a long standing problem in vision. While great efforts have been spent to improve tracking performance, a simple yet reliable prior knowledge is left unexploited: the target object in tracking must be …

ObjectObject TrackingVisual Object TrackingVisual Tracking

Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements

2024-12-02 · Mojtaba S. Fazli, Shannon Quinn

Object tracking is a fundamental tool in modern innovation, with applications in defense systems, autonomous vehicles, and biomedical research. It enables precise identification, monitoring, and spatiotemporal analysis o…

Autonomous VehiclesObjectObject Tracking