PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Detecting Abandoned Objects with a Moving Camera
Hui Kong, Jean-Yves Audibert and Jean Ponce
Transactions on Image Processing 2009.

Abstract

This paper presents a novel framework for detecting non-flat abandoned objects by matching a reference and a target video sequences. The reference video is taken by a moving camera when there is no suspicious object in the scene. The target video is taken by a camera following the same route and may contain extra objects. The objective is to find these objects. GPS information is used to roughly align the two videos and find the corresponding frame pairs. Based on the GPS alignment, four simple but effective ideas are proposed to achieve the objective: an inter-sequence geometric alignment based on homographies, which is computed by a modified RANSAC, to find all possible suspicious areas, an intra-sequence geometric alignment to remove false alarms caused by high objects, a local appearance comparison between two aligned intra-sequence frames to remove false alarms in flat areas, and a temporal filtering step to confirm the existence of suspicious objects. Experiments on fifteen pairs of videos show the promise of the proposed method.

EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Machine Vision
ID Code:6911
Deposited By:Jean-Yves Audibert
Deposited On:14 April 2010