Abstract
DCM Research Resources LLC, Germantown, Maryland 20874Abstract. In our previous work, we proposed a joint optical flow and principal componentanalysis (PCA) approach to improve the performance of optical flow based detection, wherePCA is applied on the calculated two-dimensional optical flow image, and motion detectionis accomplished by a metric derived from the two eigenvalues. To reduce the computationaltime when processing airborne videos, parallel computing using graphic processing unit(GPU) is implemented on NVIDIA GeForce GTX480. Experimental results demonstrate thatour approach can efficiently improve detection performance even with dynamic background,and processing time can be greatly reduced with parallel computing on GPU.
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