Kalman Filtering and Bipartite Matching Based Super-Chained Tracker Model for Online Multi Object Tracking in Video Sequences

Research article (Applied Sciences, 2022) · cited 18× · AI/ML
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Kalman Filtering and Bipartite Matching Based Super-Chained Tracker Model for Online Multi Object Tracking in Video Sequences

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Kalman Filtering and Bipartite Matching Based Super-Chained Tracker Model for Online Multi Object Tracking in Video Sequences is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Kalman Filtering and Bipartite Matching Based Super-Chained Tracker Model for Online Multi Object Tracking in Video Sequences. Retrieved May 24, 2026, from https://4ort.xyz/entity/kalman-filtering-and-bipartite-matching-based-super-chained-tracker-model-for-online-multi-object-tracking-in-video-sequ
MLA “Kalman Filtering and Bipartite Matching Based Super-Chained Tracker Model for Online Multi Object Tracking in Video Sequences.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/kalman-filtering-and-bipartite-matching-based-super-chained-tracker-model-for-online-multi-object-tracking-in-video-sequ.
BibTeX @misc{4ortxyz_kalman-filtering-and-bipartite-matching-based-super-chained-tracker-model-for-online-multi-object-tracking-in-video-sequ_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Kalman Filtering and Bipartite Matching Based Super-Chained Tracker Model for Online Multi Object Tracking in Video Sequences}}, year = {2026}, url = {https://4ort.xyz/entity/kalman-filtering-and-bipartite-matching-based-super-chained-tracker-model-for-online-multi-object-tracking-in-video-sequ}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Kalman Filtering and Bipartite Matching Based Super-Chained Tracker Model for Online Multi Object Tracking in Video Sequences — https://4ort.xyz/entity/kalman-filtering-and-bipartite-matching-based-super-chained-tracker-model-for-online-multi-object-tracking-in-video-sequ (retrieved 2026-05-24)

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