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A Motion Detection Approach to Generate the Differential Time Lapse Video in Real Time Application

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IJCA Proceedings on National Conference on Advances in Communication and Computing
© 2014 by IJCA Journal
NCACC 2014 - Number 1
Year of Publication: 2014
Authors:
K. N. Kunvar
P. J. Deore
V. P. Patil

K N Kunvar, P J Deore and V P Patil. Article: A Motion Detection Approach to Generate the Differential Time Lapse Video in Real Time Application. IJCA Proceedings on National Conference on Advances in Communication and Computing NCACC(1):25-27, December 2014. Full text available. BibTeX

@article{key:article,
	author = {K. N. Kunvar and P. J. Deore and V. P. Patil},
	title = {Article: A Motion Detection Approach to Generate the Differential Time Lapse Video in Real Time Application},
	journal = {IJCA Proceedings on National Conference on Advances in Communication and Computing},
	year = {2014},
	volume = {NCACC},
	number = {1},
	pages = {25-27},
	month = {December},
	note = {Full text available}
}

Abstract

Most of video recording posses the redundant information which does not require to be recorded, actual information to be record is very less as compared to information present in normal video. A differential time-lapse technique allows us to remove the unnecessary data from the normal video, in order to save the time to visualization and storage space. Differential Time Lapse Video is non-periodic time lapse technique. In differential time lapse video, each frame are compared with previously last stored frame, If some information/movement is found in the frame than frame is stored and considered as last stored frame, else frame is discarded. The differential time lapse video can be generated by pixel-to-pixel bit mapping technique, motion detection technique, edge comparison technique etc. In this paper we implement the motion detection criterion as frame selection criterion to generate differential time lapse video in real time application. The analysis of moving objects is done by detection of variations in intensity over time in the environment Here we are concerned with determinist modeling that is images difference, to detect the moving objects masks. The MATLAB based algorithm is used to generate differential time lapse video where frame selection criterion is motion detection technique.

References

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