| dc.description.abstract |
Detection of Objects in Video is a highly
demanding area of research. The Background Subtraction
Algorithms can yield better results in Foreground Object
Detection. This work presents a Hybrid CodeBook based
Background Subtraction to extract the foreground ROI from the
background. Codebooks are used to store compressed
information by demanding lesser memory usage and high speedy
processing. This Hybrid method which uses Block-Based and
Pixel-Based Codebooks provide efficient detection results; the
high speed processing capability of block based background
subtraction as well as high Precision Rate of pixel based
background subtraction are exploited to yield an efficient
Background Subtraction System. The Block stage produces a
coarse foreground area, which is then refined by the Pixel stage.
The system’s performance is evaluated with different block sizes
and with different block descriptors like 2D-DCT, FFT etc. The
Experimental analysis based on statistical measurements yields
precision, recall, similarity and F measure of the hybrid system
as 88.74%, 91.09%, 81.66% and 89.90% respectively, and thus
proves the efficiency of the novel system. |
en_US |