標題: PEDESTRIAN DETECTION IN AERIAL IMAGES USING VANISHING POINT TRANSFORMATION AND DEEP LEARNING
作者: Chang, Ya-Ching
Chen, Hua-Tsung
Chuang, Jen-Hui
Liao, I-Chun
資訊工程學系
Department of Computer Science
關鍵字: Pedestrian detection;drone;aerial image;deep learning;vanishing point transformation
公開日期: 1-一月-2018
摘要: Drones are well-liked nowadays. However, deep learning models for object detection still cannot have high detection rates for pedestrians in aerial images even though they already show high precision on PASCAL VOC 2007. The main challenges of aerial image analysis include: (i) the size of an object in aerial images can be very small, and (ii) the objects in aerial images are tilted outward due to perspective projection deformation, which make the pedestrians hard to recognize in aerial images. In this paper, we utilize image partition and vanishing point transformation to overcome the above challenges. Experimental results demonstrate that such pre-processing methods can indeed increase the detection rates significantly for some deep learning models.
URI: http://hdl.handle.net/11536/150953
ISSN: 1522-4880
期刊: 2018 25TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)
起始頁: 1917
結束頁: 1921
顯示於類別:會議論文