We propose a contact-free heart rate (HR) measurement method by analyzing sequential images of multiple video sensor devices (VSDs). In this method, skin-like pixels are firstly detected from multiple VSDs for extracting the color features. These color features in a period of time are further synchronized and analyzed by independent component analysis (ICA). A representative component is finally selected to measure the HR, which achieves under 2% deviation on average compared with a pulse oximeter in the controllable environment. The advantages of the proposed method include: (1) it uses low cost and high accessibility VSD; (2) it eases users' uncomfortableness by utilizing contact-free measurement; (3) it achieves the low error rate and the high stability by integrating multiple VSDs.