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Li, Y., Tsin, Y., Genc, Y. and Kanade, T., “Object detection using 2D spatial ordering constraints,” Computer Vision and Pattern Recognition, CVPR 2005. IEEE Computer Society Conference on, 20-25 June, 2005.

has been cited by the following article:

• TITLE: Template Match Object Detection for Inertial Navigation Systems

  AUTHORS: Wiedo Hu, Ahmed Mohamed Gharuib, Alaa El-Din Sayed Hafez

  KEYWORDS: Template Match, Hit / Miss Transform, INS

  JOURNAL NAME: Positioning, Vol.2 No.2, May 24, 2011

  ABSTRACT: This paper devoted to propose template match object detection for inertial navigation systems (INS). The proposed method is an image processing technique to improve the precision of the INS for detecting and tracking the ground objects from flying vehicles. Template matching is one of the methods used for ground object detection and tracking. Robust and reliable object detection is a critical step of object recognition. This paper presents a proposed mathematical morphological template matching method for detection and tracking of ground objects. Our focus is on flying systems equipped with camera to capture photos for the ground and recognize it. The proposed method is independent on the altitude or the orientation of the object. The algorithm is simulated using Matlab program and the numerical experiments are shown which verify the object detection for a wide range altitude and orientation. The results show superiority of this method for identifying and recognizing the ground objects.