IEEE Trans Image Process - Detecting abandoned objects with a moving camera.

Tópicos

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Resumo

This paper presents a novel framework for detecting nonflat 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 upon the GPS alignment, four simple but effective ideas are proposed to achieve the objective: an intersequence geometric alignment based upon homographies, which is computed by a modified RANSAC, to find all possible suspicious areas, an intrasequence geometric alignment to remove false alarms caused by high objects, a local appearance comparison between two aligned intrasequence 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.

Resumo Limpo

paper present novel framework detect nonflat abandon object match refer target video sequenc refer video taken move camera suspici object scene target video taken camera follow rout may contain extra object object find object gps inform use rough align two video find correspond frame pair base upon gps align four simpl effect idea propos achiev object intersequ geometr align base upon homographi comput modifi ransac find possibl suspici area intrasequ geometr align remov fals alarm caus high object local appear comparison two align intrasequ frame remov fals alarm flat area tempor filter step confirm exist suspici object experi fifteen pair video show promis propos method

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