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1、 36 3 2010 3 $ K ACTA AUTOMATICA SINICAVol. 36, No. 3March, 2010% 1 2 3 1 %$ff%fi, :%,Q %. %KA$: 1) f%K%; 2) %$%, f%; 3) $, fiAf% (QR%$ 2), %fi$, $%. $I% IBM fi$fi%f%$. fi, , , DOI10.3724/SP.J.1004.2010.00375A Greedy Searching Algorithm for Multiple ObjectTracking and Occlusion HandlingYANG Tao1LI J
2、ing2PAN Quan3ZHANG Yan-Ning1Abstract This paper presents a novel real-time multiple object tracking algorithm, which contains three parts: regioncorrelation based foreground segmentation, merging-splitting based data association and greedy searching based occluded object localization. The main chara
3、cteristics of the proposed algorithm are summarized as follows: 1) the multiple object tracking and occlusion handling problem is successfully changed into an image classification problem with prior knowledge of object number and feature; 2) a highly efficient greedy searching method is presented to
4、 meet real-time capability; 3) it has good performance in expansibility, and it has no constraints about the number of occluded objects, the occlusion ratio and the objectt s motion model. Experiment results with hand labeled IBM database demonstrate that the method is effective and efficient.Key wo
5、rds Multiple object detection and tracking, occlusion handling, greedy searching, intelligent video surveillance%K%fififl$%fi, y,$A,$%f. f%fi116 %$% AA$. R$, $%, $Afi $%.%pf 5 : 1) fi; 2) fiQ; 3) Qfi; 4) fi; 5) fi. $, 1) 5) %, 2) QR %, fA% ( 3) % ( 4) %A.K, f%LffffLfl. $Q:, Q %; $% , %A%.1) Q %, QR%
6、, %, Qfl%Qf%. L, Q R%Q$%, %QR%, $. McKenna 13 Bremond14 K, ,. Piater 15 K$ 2008-10-22 fi$ 2009-01-21Manuscript received October 22, 2008; accepted January 21,2009$Q (863 ) (2009AA01Z315), (60903126, 60872145, 60634030), I$ (708085) Supported by National High Technology Research and De-velopment Prog
7、ram of China (863 Program) (2009AA01Z315), National Natural Science Foundation of China (60903126,60872145, 60634030), and Cultivation Fund of the Key Scien- tific and Technical Innovation Project, Ministry of Education of China (708085)1. fflI!$fA fp710129 2. fp$I fp 710071 3. fflI!$K fp 7101291. S
8、haanxi Key Laboratory of Speech and Image InformationProcessing, School of Computer Science, Northwestern Polytech- nical University, Xir an 710129 2. School of Telecommunica- tions Engineering, Xidian University, Xir an 710071 3. School of Automation, Northwestern Polytechnical University, Xir an71
9、0129, Q Kalman %, .Q %fl%, $Q , fl%,%. Q%, Q%K%. %A%QR%$ 2, %:fi, %$, fl%K%$ %f%, f.2) %$%K. QR %$, flfi ($ 2) $%. %A%.%,Mean shift . $% (A,KA,) $ (fi ,%L), % %. , %, $%,%$, %f. %, $L, %fiKfi, QRfl%, %$, f%, $%, . flK, %, %f%.A%$%,$%, %$K. L,QR%, $%fiA, f$fiQR%, %fi, %fl %. fl, $%$fifiK. Elgammal 16 %fi$% %, %$% % (fi,$,), %$ fi$%$, %, Q. Cucchiara10 :$fi$% $. Beleznai 11 Mean shift fi%$, Q% Mean shift . %, Lffl: Cucchiara 10 fiK, fK%. flK,fi%, fi%, %f%. Beleznai 11 $% L, f, f% Mean shift %$.$Lfl, %$%fi. Q , fi%, %$A%, f%K%, Q%, $%. QR%,
