Hye Seung Choi , A Kun Wang , Young Sung Soh

The KIPS Transactions:PartB , Vol. 12, No. 4, pp. 395-402, Aug. 2005
10.3745/KIPSTB.2005.12.4.395,   PDF Download:

Abstract

Object extraction is needed to track objects in color traffic image sequence. To extract objects, we use background differencing method based on MOG(Mixture of Gaussians). In extracted objects, shadows may be included. Due to shadows, we may not find exact location of objects and sometimes we find adjacent objects are glued together. Many methods have been proposed to remove shadows. Conventional methods usually assume that color and texture information are preserved under the shadow. Thus these methods do not work well if these assumptions do not hold. In this paper, we propose a new robust shadow removal method which works well in those situations. First we extract shadow pixel candidates by analysing color information and compute the ratio of shadow pixel candidates over the total number of pixels. If the ratio is reasonable, we remove shadow candidate pixels and if not, e use data in history array containing previous removalrecords. We applied the method to real color traffic image sequences and obtained good results.

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