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This work is aiming at the development of a hybrid intelligent model to tackle the problem of crowd density estimation. The presented hybrid model comprises Extreme Learning Machine (ELM) for pattern recognition, Differential Evolution (DE) for model construction, as well as texture feature extraction techniques for input pattern encoding. In this work, DE is adopted to design an efficient recognition model by performing training instances selection as well as ELM topology selection. To assessfatcat:bgq5oyg52zdvjphbaacpuzyzcq