Falling including prediction, detection, and post-fall care are important issues in health maintenance of the elderly. In particular, the widespread applications of wearable devices and video camera surveillance systems appeal much more attentions in fall detection. In this paper, a review of fall detections based on inertial sensors and video camera are presented. Meanwhile, novel fall detection methods based on body accelerations or human body contour model from video image are introduced. Finally, future issues about fall detection are addressed.