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Then, the Smoothing Gain Kalman filter is designed, which combines the Gaussian function with the adaptive observation coefficient matrix to stabilize the mutation noise of Kalman gain. Finally, to address the drift noise issue, the gradient boosting reconnection context mechanism is designed, which realizes adaptive trajectory reconnection to effectively fill the gaps in trajectories. With the assistance of the plug-and-play noise-control method, the experimental results on MOTChallenge 16 &amp;17 datasets indicate that the NCT can achieve better performance than other state-of-the-art trackers.<\/jats:p>","DOI":"10.1007\/s40747-022-00946-9","type":"journal-article","created":{"date-parts":[[2023,1,3]],"date-time":"2023-01-03T02:03:00Z","timestamp":1672711380000},"page":"4331-4347","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["NCT:noise-control multi-object tracking"],"prefix":"10.1007","volume":"9","author":[{"given":"Kai","family":"Zeng","sequence":"first","affiliation":[]},{"given":"Yujie","family":"You","sequence":"additional","affiliation":[]},{"given":"Tao","family":"Shen","sequence":"additional","affiliation":[]},{"given":"Qingwang","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Zhimin","family":"Tao","sequence":"additional","affiliation":[]},{"given":"Zhifeng","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Quanjun","family":"Liu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,1,3]]},"reference":[{"key":"946_CR1","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1109\/TIP.2018.2839891","volume":"PAMI\u20138","author":"J Babaud","year":"1986","unstructured":"Babaud J, Witkin AP, Baudin M et al (1986) Uniqueness of the gaussian kernel for scale-space filtering. 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