Sciweavers

Share

Publication

Detecting Abandoned Objects with A Moving Camera

9 years 5 months ago
Detecting Abandoned Objects with A Moving Camera
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 pa...
Hui Kong, Jean-Yves Audibert and Jean Ponce
Added 17 Mar 2010
Updated 17 Mar 2010
Type Journal
Year 2010
Where IEEE Transactions on Image Processing
Authors Hui Kong, Jean-Yves Audibert and Jean Ponce
 
Comments (0)
books