{"id":23200522,"url":"https://github.com/bayunova28/vehicle_counting_recognition","last_synced_at":"2026-05-14T21:05:16.934Z","repository":{"id":157263951,"uuid":"441269495","full_name":"Bayunova28/Vehicle_Counting_Recognition","owner":"Bayunova28","description":"This repository contains about my personal project to build vehicle counting detection ","archived":false,"fork":false,"pushed_at":"2022-05-06T12:12:23.000Z","size":26928,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-10-20T03:44:03.951Z","etag":null,"topics":["opencv","python"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Bayunova28.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2021-12-23T18:50:59.000Z","updated_at":"2021-12-26T15:56:06.000Z","dependencies_parsed_at":null,"dependency_job_id":"72f44aa9-dd7e-4f09-9adb-f0b24ee45db7","html_url":"https://github.com/Bayunova28/Vehicle_Counting_Recognition","commit_stats":null,"previous_names":[],"tags_count":1,"template":false,"template_full_name":null,"purl":"pkg:github/Bayunova28/Vehicle_Counting_Recognition","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Bayunova28%2FVehicle_Counting_Recognition","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Bayunova28%2FVehicle_Counting_Recognition/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Bayunova28%2FVehicle_Counting_Recognition/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Bayunova28%2FVehicle_Counting_Recognition/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Bayunova28","download_url":"https://codeload.github.com/Bayunova28/Vehicle_Counting_Recognition/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Bayunova28%2FVehicle_Counting_Recognition/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":33043266,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-13T13:14:54.681Z","status":"online","status_checked_at":"2026-05-14T02:00:06.663Z","response_time":57,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["opencv","python"],"created_at":"2024-12-18T15:11:35.337Z","updated_at":"2026-05-14T21:05:16.919Z","avatar_url":"https://github.com/Bayunova28.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Vehicle Counting Recognition\n\u003cimg src=\"https://github.com/Bayunova28/Vehicle_Counting_Detection/blob/master/maxresdefault.jpg\" width=\"1100\"\u003e\n\n\u003cp align=\"justify\"\u003eVehicle detection and statistics in highway monitoring video scenes are of considerable significance to intelligent traffic management and control of the highway. With the \npopular installation of traffic surveillance cameras, a vast database of traffic video footage has been obtained for analysis. Generally, at a high viewing angle, \na more-distant road surface can be considered. The object size of the vehicle changes greatly at this viewing angle, and the detection accuracy of a small object far away from \nthe road is low. In the face of complex camera scenes, it is essential to effectively solve the above problems and further apply them. In this article, we focus on the above \nissues to propose a viable solution, and we apply the vehicle detection results to multi-object tracking and vehicle counting.\u003cp\u003e\n\n## Additional Files\n- [Traffic.mp4](https://github.com/Bayunova28/Vehicle_Counting_Detection/raw/master/Traffic.mp4)\n\n## Install Package\nMake sure you have numpy and opencv installed. If not install them using pip\n```python\npip install opencv-python\npip install numpy\n```\n\n## References\n- [Vehicle Counting and Detection](ijitee.org/wp-content/uploads/papers/v9i8/H6696069820.pdf)\n- [Real-Time Vehicle Type Detection and Counting from Road Camera Video](http://ceur-ws.org/Vol-2795/short3.pdf)\n- [Automatic Vehicle Counting System for Traffic Monitoring](https://oatao.univ-toulouse.fr/16983/1/crouzil_16983.pdf)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbayunova28%2Fvehicle_counting_recognition","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbayunova28%2Fvehicle_counting_recognition","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbayunova28%2Fvehicle_counting_recognition/lists"}