Crowd behavior analysis is a significant task in the context of surveillance and crowd management. For a moving crowd, analyzing the motion pattern is very important. In this work, we present a simple scheme to categorize such crowds as structured, semi-structured and unstructured ones. The categorization is achieved based on the regularity of the motion pattern of the collection of objects (human...Show More
Automatic music genre classification is an active and most popular area of research in Music Information Retrieval (MIR) domain. Such classification enables organized storage and retrieval of music information from a large collection. In this work, we have utilized spectral features that represents important musical properties like timbre, tonality and pitch which play important role in discrimina...Show More
In the constrained optimization competition held in CEC 2017, a unified differential evolution algorithm, named UDE, secured 2nd rank. The UDE algorithm is inspired from some popular DE variants existing in the literature such as CoDE, JADE, SaDE, and ranking-based mutation operator. The primary feature of UDE lies in unifying the main idea of CoDE, JADE, SaDE, ranking-based mutation, and incorpor...Show More
