{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/ovtrack-open-vocabulary-multiple-object","title":"OVTrack: Open-Vocabulary Multiple Object Tracking","arxiv_id":"2304.08408","date":"2023-04-17","proceeding":"CVPR 2023 1","authors":["Siyuan Li","Tobias Fischer","Lei Ke","Henghui Ding","Martin Danelljan","Fisher Yu"],"abstract":"The ability to recognize, localize and track dynamic objects in a scene is fundamental to many real-world applications, such as self-driving and robotic systems. Yet, traditional multiple object tracking (MOT) benchmarks rely only on a few object categories that hardly represent the multitude of possible objects that are encountered in the real world. This leaves contemporary MOT methods limited to a small set of pre-defined object categories. In this paper, we address this limitation by tackling a novel task, open-vocabulary MOT, that aims to evaluate tracking beyond pre-defined training categories. We further develop OVTrack, an open-vocabulary tracker that is capable of tracking arbitrary object classes. Its design is based on two key ingredients: First, leveraging vision-language models for both classification and association via knowledge distillation; second, a data hallucination strategy for robust appearance feature learning from denoising diffusion probabilistic models. The result is an extremely data-efficient open-vocabulary tracker that sets a new state-of-the-art on the large-scale, large-vocabulary TAO benchmark, while being trained solely on static images. Project page: https://www.vis.xyz/pub/ovtrack/","url_abs":"https://arxiv.org/abs/2304.08408v1","url_pdf":"https://arxiv.org/pdf/2304.08408v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"ovtrack-open-vocabulary-multiple-object","repo_url":"https://github.com/syscv/ovtrack","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"jax","reach":{"status":"ok","spdx":"Apache-2.0"}}],"tasks":[{"task_slug":"denoising","task_name":"Denoising"},{"task_slug":"hallucination","task_name":"Hallucination"},{"task_slug":"knowledge-distillation","task_name":"Knowledge Distillation"},{"task_slug":"multi-object-tracking","task_name":"Multi-Object Tracking"},{"task_slug":"multiple-object-tracking","task_name":"Multiple Object Tracking"},{"task_slug":"object","task_name":"Object"},{"task_slug":"object-tracking","task_name":"Object Tracking"}],"methods":[{"method_slug":"diffusion","method_name":"Diffusion"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=2304.08408","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2304.08408"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/syscv/ovtrack","reach":{"status":"ok","spdx":"Apache-2.0"}}],"summary":{"unverified":5},"by_repo_kind":{"listed":{"samples":5,"ran":0,"repositories":1}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":0,"samples":[{"code_sha256_prefix":"70fa1732cf6a9695","entry":"aggregate_accs","repo":"syscv/ovtrack","repo_kind":"listed","path":"ovtrack/core/evaluation/mot.py","file_url":"https://github.com/syscv/ovtrack/blob/HEAD/ovtrack/core/evaluation/mot.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"70fa1732cf6a9695"}},{"code_sha256_prefix":"f35b1bad8be372aa","entry":"cal_similarity","repo":"syscv/ovtrack","repo_kind":"listed","path":"ovtrack/core/track/similarity.py","file_url":"https://github.com/syscv/ovtrack/blob/HEAD/ovtrack/core/track/similarity.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"f35b1bad8be372aa"}},{"code_sha256_prefix":"b6d40f71c01b9283","entry":"get_rotation_matrix","repo":"syscv/ovtrack","repo_kind":"listed","path":"diffusers_clean/ovtrack_diffusion_generation.py","file_url":"https://github.com/syscv/ovtrack/blob/HEAD/diffusers_clean/ovtrack_diffusion_generation.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"b6d40f71c01b9283"}},{"code_sha256_prefix":"53ef467adf2a5ef9","entry":"get_scaling_matrix","repo":"syscv/ovtrack","repo_kind":"listed","path":"diffusers_clean/ovtrack_diffusion_generation.py","file_url":"https://github.com/syscv/ovtrack/blob/HEAD/diffusers_clean/ovtrack_diffusion_generation.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"53ef467adf2a5ef9"}},{"code_sha256_prefix":"f553d5b431ee6134","entry":"get_shear_matrix","repo":"syscv/ovtrack","repo_kind":"listed","path":"diffusers_clean/ovtrack_diffusion_generation.py","file_url":"https://github.com/syscv/ovtrack/blob/HEAD/diffusers_clean/ovtrack_diffusion_generation.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"f553d5b431ee6134"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}