A tracking algorithm of infrared sequence based on multi-model integration

P.F. Chen, Wen Zhong Shi

Research output: Journal article publicationJournal articleAcademic research


作為一種新型圖像獲取技術,熱紅外技術能避免光照強度和背景顏色對目標提取的影響。當前利用熱紅外序列進行目標跟蹤的算法大多結合可見光和熱紅外圖像。針對這種局限性,提出了一種純粹基于熱紅外序列的跟蹤算法。首先,通過改進的碼書算法和灰色預測模型,對序列中的背景信息和運動目標的運動方向進行建模;然后,將建模結果結合到壓縮跟蹤算法中,通過自適應的方法使背景信息、運動信息以及目標特征信息在跟蹤過程中互相補充,消除跟蹤算法對于可見光圖像的依賴性,減少由于目標紋理特征不明顯而對跟蹤效果產生影響。實驗證明,經改進的跟蹤算法處理速度快,正確性得到了明顯的提高,能更好地適應熱紅外序列的特點。||As a new image acquisition technology,the thermal infrared imaging can avoid the influence of illumination and background color on its image acquisition.Currently,the algorithms which use a thermal infrared sequence for target tracking mostly combine visible light images with thermal infrared images.In view of this limitation,a tracking algorithm based solely on the thermal infrared sequence is proposed.First,the background information and the moving direction of a target in the sequence are modeled by using a modified codebook algorithm.Then,the modeling result is incorporated into the compression tracking algorithm.The information on background,target motion and target characteristics is complemented one another in the tracking process.The experiment shows that the improved algorithm is fast in processing.Because its accuracy is improved greatly,it is adapted to the characteristics of thermal infrared sequences better.
Original languageChinese (Simplified)
Pages (from-to)32-37
Number of pages6
Journal红外 (Infrared)
Issue number8
Publication statusPublished - 2014


  • Thermal infrared
  • Compressive tracking
  • Codebook algorithm
  • Background information

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