MARO: matrix rank optimization for the detection of small-size moving objects from aerial camera platforms

作者：ElTantawy Agwad^*; Shehata Mohamed S.

来源：Signal, Image and Video Processing, 2018, 12(4): 641-649.

DOI：10.1007/s11760-017-1203-7

• Moving objects detection
• Aerial imagery
• Inexact Newton
• Inexact augmented Lagrange multiplier

Moving objects detection from aerial camera platforms is a very challenging problem due to the small-size of the moving objects and the false motion of the static background elements. Although many methods have been proposed in this domain, they always have a trade-off between true detections and false detections. This paper proposes a novel solution called matrix rank optimization method (MARO) to achieve high true detections with low false detections. In MARO, the detection problem is formulated as a principal component pursuit with a transformation domain. The novelty of MARO is that it solves this problem by using the inexact Newton method and a backtracking behaviour in inexact augmented Lagrange multiplier. MARO has been extensively evaluated using DARPA VIVID, UCF aerial action, and VIRAT aerial datasets. The results show that MARO outperforms current-state-of-the-art methods, as well as lowers the execution time without sacrificing the accuracy.

• 出版日期2018-5