1. A system for estimating and tracking multiple attributes of multiple objects from multi-sensor data, the system comprising: an object detector stored in memory and executed by at least one processor to determine multiple probable objects based at least in part on features associated with sensor data, the sensor data representing data captured by at least one of a plurality of sensors, the determination being made in parallel for the features; a hypothesis generator stored in memory and executed by the at least one processor to form hypotheses based at least in part on associating the features with the multiple probable objects; a grouping module stored in memory and executed by the at least one processor to attribute the formed hypotheses to channels; and a tracking module stored in memory and executed by the at least one processor to construct sequences of the formed hypotheses; the tracking module being configured to provide the channels and constructed sequences for use in signal processing.