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基于顏色屬性直方圖的尺度目標(biāo)跟蹤算法研究

畢篤彥 庫(kù)濤 查宇飛 張立朝 楊源

畢篤彥, 庫(kù)濤, 查宇飛, 張立朝, 楊源. 基于顏色屬性直方圖的尺度目標(biāo)跟蹤算法研究[J]. 電子與信息學(xué)報(bào), 2016, 38(5): 1099-1106. doi: 10.11999/JEIT150921
引用本文: 畢篤彥, 庫(kù)濤, 查宇飛, 張立朝, 楊源. 基于顏色屬性直方圖的尺度目標(biāo)跟蹤算法研究[J]. 電子與信息學(xué)報(bào), 2016, 38(5): 1099-1106. doi: 10.11999/JEIT150921
BI Duyan, KU Tao, ZHA Yufei, ZHANG Lichao, YANG Yuan. Scale-adaptive Object Tracking Based on Color Names Histogram[J]. Journal of Electronics & Information Technology, 2016, 38(5): 1099-1106. doi: 10.11999/JEIT150921
Citation: BI Duyan, KU Tao, ZHA Yufei, ZHANG Lichao, YANG Yuan. Scale-adaptive Object Tracking Based on Color Names Histogram[J]. Journal of Electronics & Information Technology, 2016, 38(5): 1099-1106. doi: 10.11999/JEIT150921

基于顏色屬性直方圖的尺度目標(biāo)跟蹤算法研究

doi: 10.11999/JEIT150921
基金項(xiàng)目: 

國(guó)家自然科學(xué)基金(61472442, 61372167), 陜西省青年科技新星項(xiàng)目(2015KJXX-46)

Scale-adaptive Object Tracking Based on Color Names Histogram

Funds: 

The National Natural Science Foundation of China (61472442, 61372167), The Young Star Science and Technology Program of Shaanxi (2015KJXX-46)

  • 摘要: 利用目標(biāo)顏色信息的跟蹤算法,容易受到環(huán)境光照、尺度變化、相似背景等因素的干擾,導(dǎo)致跟蹤任務(wù)失敗。為了克服以上問(wèn)題,該文提出一種基于顏色屬性空間的魯棒尺度目標(biāo)跟蹤算法。該算法首先將原始的RGB顏色空間映射到顏色屬性(Color Names, CN)空間,減少目標(biāo)顏色在跟蹤過(guò)程中受環(huán)境變化影響。然后采用一種背景加權(quán)約束的顏色屬性直方圖,來(lái)抑制相似背景的干擾。最后,為了解決目標(biāo)尺度變化帶來(lái)的影響,先用梯度上升法粗略估計(jì)尺度,再用約束項(xiàng)精確求解尺度,并利用反向一致性檢驗(yàn),進(jìn)一步提高尺度估計(jì)的準(zhǔn)確性。該文選取了5段典型視頻進(jìn)行實(shí)驗(yàn),并與相關(guān)算法進(jìn)行比較。結(jié)果表明所提算法能夠消除環(huán)境光照、陰影、相似背景和尺度變化等因素所帶來(lái)的影響,在中心位置誤差和跟蹤成功率性能指標(biāo)上,優(yōu)于其它算法。
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    Van de WEIJER J, SCHMID C, and VERBEEK J. Learning color names from real-world Images[C]. IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis, Minnesota, USA, 2007: 1-8.
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出版歷程
  • 收稿日期:  2015-08-07
  • 修回日期:  2016-01-22
  • 刊出日期:  2016-05-19

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