1. A method for predicting a condition of elevated risk of a fall comprising: receiving a surveillance viewport of an area from a surveillance camera; displaying the surveillance viewport on a screen, the surveillance viewport showing a bed on the screen; receiving a user designation indicating a left risk line and a right risk line of the bed as displayed on the screen, the left risk line and the right risk line associated with an elevated risk of patient falls; creating a left set of concurrent motion detection zones and a right set of concurrent motion detection zones, the zones of the left set created to be separate from the zones of the right set, each of the left set and the right set created to project laterally outward from the left risk line and the right risk line respectively, each of the left set and the right set respectively comprising at least an innermost zone and an outermost zone, the innermost zone of the left set extending along and adjacent to the left risk line, the innermost zone of the left set positioned between the left risk line and the outermost zone of the left set, the innermost zone of the right set extending along and adjacent to the right risk line, the innermost zone of the right set positioned between the right risk line and the outermost zone of the right set, each of the left set and the right set being automatically created by a computing system based on the user designation indicating the left risk line and the right risk line, wherein each of the left set and the right set respectively comprise at least one detection zone between the innermost detection zone and the outermost detection zone; monitoring for motion in each zone of each of the left set and the right set based on a plurality of frames sequentially generated by the surveillance camera while viewing the bed; detecting a plurality of movement signatures of movement traversing one or both of the left set and the right set, the plurality of movement signature comprising an outward movement signature associated with high patient fall risk from the bed and an inward movement signature that is not associated with high patient fall risk from the bed, wherein the outward movement signature is detected based on motion being first detected within the innermost zone of either of the left set or the right set before motion is detected in any other zones of the left set or the right set, and wherein the inward movement signature is detected based on motion being first detected within the outermost zone of either of the left set or the right set before motion is detected in any other zones of the left set or the right set, the plurality of movement signatures detected by the computing system; and issuing a fall alert with the computing system based on the detection of the outward movement signature.