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A key in Dolphins conservation efforts is population estimation in their natural environment. A common method for mapping Dolphins appearance is the detection of their vocalizations. In this paper, we propose a novel detection technique for Dolphins whistles, referred to as ECV (Entropy, Correlation, and Viterbi algorithm). ECV is a robust detector of low complexity that automatically detects dolphins whistles and extracts their spectral features, using a single receiver with only a few system parameters. The method employs a chain of decisions based on spectral entropy and time-domain correlation followed by constrained Viterbi algorithm to extract the whistles features. Simulation results as well as performance over real recordings shows a good trade off between detection and false alarm, that compares well with the widely used PAMguard system.