Title :
Efficient object detection with its enhancement
Author :
Sharma, Urvashi ; Sharma, Tripti ; Jain, Trisha
Author_Institution :
ECE Dept., Mody Univ., Lakshmangarh, India
Abstract :
Different methods employed for object detection are widely exploited covering application areas such as traffic monitoring, video surveillance and capturing various human activities and motion. The traditional methods that have earlier been proposed for detection are found to be beneficial if the detected object is properly identified. Moreover, minimizing the effect of dynamic changes as well as development of the algorithm which is robust of intensity variation is a challenging task. So this paper emphasizes on enhancement followed by detection which provide an ease for identification of distant objects. The task of detection was performed on a video using simple detectors and developing an approach for proper segmentation of moving objects. Moving body was detected from a video having a frame rate of 25 frames per second, total bit rate of 234 kbps and having 160×112 as frame width and height. Further operation of enhancement and detection was processed on MATLAB R2013b tool.
Keywords :
image enhancement; image motion analysis; image segmentation; object detection; video signal processing; Matlab R2013b tool; moving object segmentation; object detection; object enhancement; object identification; video detection; Algorithm design and analysis; Computer vision; Detectors; Feature extraction; Heuristic algorithms; Histograms; Noise; Background subtraction; Canny detector; Histogram equalization; Image enhancement;
Conference_Titel :
Computing, Communication & Automation (ICCCA), 2015 International Conference on
Conference_Location :
Noida
Print_ISBN :
978-1-4799-8889-1
DOI :
10.1109/CCAA.2015.7148538