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However, the solution space of general CRF is complex and requires an iterative search. To achieve efficient online tracking, the original CRF problem is approximately transformed into a combination of multiple CRF problems with closed-form solutions. Moreover, the proposed algorithm has been applied in practical applications using an edge-cloud model that maintains the balance between performance and efficiency. Extensive experiments on the well-known MOTchallenge benchmark demonstrate the superior performance of the proposed algorithm.<\/jats:p>","DOI":"10.1007\/s40747-022-00922-3","type":"journal-article","created":{"date-parts":[[2022,12,2]],"date-time":"2022-12-02T07:57:31Z","timestamp":1669967851000},"page":"3261-3276","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Efficient combination graph model based on conditional random field for online multi-object tracking"],"prefix":"10.1007","volume":"9","author":[{"given":"Junwen","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Xiaolong","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Ziqi","family":"Zhu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5532-9060","authenticated-orcid":false,"given":"Chunhua","family":"Deng","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,12,2]]},"reference":[{"issue":"3","key":"922_CR1","doi-asserted-by":"publisher","first-page":"595","DOI":"10.1109\/TPAMI.2017.2691769","volume":"40","author":"S-H Bae","year":"2018","unstructured":"Bae S-H, Yoon K-J (2018) Confidence-based data association and discriminative deep appearance learning for robust online multi-object tracking. 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