Aeronautical Science Foundation of China (20155552050), the Natural Science Foundation of
Jiangsu Province (BK20170804), and National Defense Science and Technology Special Innovation Zone Project.
References
1. Wu Y, Lim J, Yang MH (2013) Online object tracking: a benchmark. In: Computer vision and
pattern recognition, pp 2411–2418. IEEE, New York
2. Kristan M, Pflugfelder R, Leonardis A et al (2014) The visual object tracking VOT2014
challenge results. In: IEEE international conference on computer vision workshops, pp 98–
111. IEEE, New York
3. Yi KM, Jeong H, Heo B et al (2014) Initialization-insensitive visual tracking through voting
with salient local features. In: IEEE international conference on computer vision, pp 2912–
2919. IEEE, New York
4. Zitnick CL, Dollár P (2014) Edge boxes: locating object proposals from edges. In: Computer
vision—ECCV 2014, pp 391–405. Springer International Publishing
5. Zitnick CL (2013) Structured forests for fast edge detection. In: IEEE international conference
on computer vision, 99, 1841–1848. IEEE Computer Society
6. Zhu H, Porikli F (2016) Automatic refinement strategies for manual initialization of object
trackers. IEEE Trans Image Process 99:1
7. Mueller M, Smith N, Ghanem B (2016) A benchmark and simulator for UAV tracking. In:
European conference on computer vision, pp 445–461 Springer International Publishing
8. Hou X, Zhang L (2007) Saliency detection: a spectral residual approach. In: IEEE conference
on Computer vision and pattern recognition, 2007. CVPR’07, pp 1–8. IEEE, New York
The Precise Location Method for Initial Target …
575
Jiangsu Province (BK20170804), and National Defense Science and Technology Special Innovation Zone Project.
References
1. Wu Y, Lim J, Yang MH (2013) Online object tracking: a benchmark. In: Computer vision and
pattern recognition, pp 2411–2418. IEEE, New York
2. Kristan M, Pflugfelder R, Leonardis A et al (2014) The visual object tracking VOT2014
challenge results. In: IEEE international conference on computer vision workshops, pp 98–
111. IEEE, New York
3. Yi KM, Jeong H, Heo B et al (2014) Initialization-insensitive visual tracking through voting
with salient local features. In: IEEE international conference on computer vision, pp 2912–
2919. IEEE, New York
4. Zitnick CL, Dollár P (2014) Edge boxes: locating object proposals from edges. In: Computer
vision—ECCV 2014, pp 391–405. Springer International Publishing
5. Zitnick CL (2013) Structured forests for fast edge detection. In: IEEE international conference
on computer vision, 99, 1841–1848. IEEE Computer Society
6. Zhu H, Porikli F (2016) Automatic refinement strategies for manual initialization of object
trackers. IEEE Trans Image Process 99:1
7. Mueller M, Smith N, Ghanem B (2016) A benchmark and simulator for UAV tracking. In:
European conference on computer vision, pp 445–461 Springer International Publishing
8. Hou X, Zhang L (2007) Saliency detection: a spectral residual approach. In: IEEE conference
on Computer vision and pattern recognition, 2007. CVPR’07, pp 1–8. IEEE, New York
The Precise Location Method for Initial Target …
575
