Advances in Computing Applications by Amlan Chakrabarti, Neha Sharma, Visit Amazon's Valentina

By Amlan Chakrabarti, Neha Sharma, Visit Amazon's Valentina Emilia Balas Page, search results, Learn about Author Central, Valentina Emilia Balas,

This edited quantity offers the newest top of the range technical contributions and study leads to the parts of computing, informatics, and knowledge administration. The publication offers with state-of paintings themes, discussing demanding situations and attainable strategies, and explores destiny study instructions. the most objective of this quantity is not just to summarize new learn findings but additionally position those within the context of prior paintings. This quantity is designed for pro viewers, composed of researchers, practitioners, scientists and engineers in either the academia and the industry.

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Advances in Computing Applications

This edited quantity offers the newest fine quality technical contributions and learn leads to the parts of computing, informatics, and data administration. The publication bargains with state-of artwork subject matters, discussing demanding situations and attainable recommendations, and explores destiny study instructions. the most objective of this quantity is not just to summarize new learn findings but in addition position those within the context of earlier paintings.

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So it was required as a necessary and important stage to incorporate the shadow detection and elimination stage between the computer vision and processing stage. This stage which is a complete system on its own has its own input stage, processing, output and evaluation stage. e. colour based and texture based along with justified evaluation of the results obtained by them. K. K. com © Springer Science+Business Media Singapore 2016 A. Chakrabarti et al. K. K. Shukla Introduction As computer vision systems are not capable of separating the shadows form the images, these shadows in general have to be separated from the objects before entering the processing unit.

This is done through the shadow detection and elimination stage [1–4]. Shadow detection is a compulsory stage but shadow elimination is optional which depends on image type and its use. 2: Image 2 represent objects along with their shadows having similar features in terms of shape and colour. In case of tracking, this may confuse the tracking system to select the shadow instead of the object. This is called as false tracking. This can also lead to miscounting of objects. In such type of applications along with shadow detection, its elimination is also important [5, 6, 7].

Peternier A, Ansaloni D, Bonetta D, Pautasso C, Binder W (2012) Hardware-aware thread scheduling: the case of asymmetric multicore processors. In: 2012 IEEE 18th international conference on parallel and distributed systems 38. Anane A, Aboulhamid EM, Savaria Y (2012) System modeling and multicore simulation using transactions. IEEE 978-1-4673-2297-3/12 39. Pericas M, Cristal A, Cazorla FJ, Gonzalez R, Veidenbaum A, Jimenez DA, Valero M (2008) A two-level load/store queue based on execution locality In: International symposium on computer architecture IEEE 3 An Efficient Dynamic Scheduling of Tasks … 47 40.

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