ISSR: Intensity Slicing and Spatial Resolution Approaches for Moving Object Detection and Tracking under Litter Background

• Published in: Advances in Computing, Communication, and Control pp. 525 - 536
• Main Authors: Gopala Krishna, M. T., Ravishankar, M., Rameshbabu, D. R.
• Format: Book Chapter
• Language: English
• Published: Berlin, Heidelberg Springer Berlin Heidelberg
• Series: Communications in Computer and Information Science
• Subjects: Adaptive threshold; Intensity Slicing; Litter Background; Object Detection; Object Tracking; Spatial Resolution; Video surveillance
• ISBN: 3642363202; 9783642363207
• ISSN: 1865-0929; 1865-0937
• DOI: 10.1007/978-3-642-36321-4_50

Moving object Detection in video sequences is one among the foremost indispensable challenges in Image and video processing. Its conjoint research areas are activity monitoring and video surveillance application. However, still beneath the biological process stage needs robust approaches once applied in an unconstrained environment. Several detection algorithms have higher performance under the static background, however decline results under background with fake motions. Detecting and Tracking of multiple moving objects in presence of Litter background like leaves movement of trees, water waves, fountain, window curtain movement and change of illumination in video sequences is a challenging problem. Because of these little movements within the background, it affects the performance of the automated tracking system. To overcome the above said problem, an approach consisting of Intensity Slicing and Spatial Resolution is considered to attenuate the results caused by the Litter Background. A modified 3-frame difference technique is employed to detect a moving object. Then, Adaptive Thresholding is used to segment the object from the background and to track the object. Results are compared with the existing well known traditional techniques. The proposed technique is tested on standard PETS datasets and our own collected video datasets. The experimental results prove the feasibility and usefulness of the proposed technique.