Target localization and tracking are one of the important applications of sensor networks. Majority of localization and tracking techniques developed for wireless systems rely on expensive infrastructure of specialized sensors and overlapping deployment. In this paper, we propose a novel technique to track the target using binary detection and sparse non-overlapping deployment. Our technique tracks target on the basis of time it spends inside and outside the vicinity of the sensor. On the basis of time interval and estimated speed, distance traveled by target is computed on the basis of which we formulate a mathematical model to track the target. The approach computes a band in which target lies. We simulate the tracking scenario in NS2 and evaluate the proposed algorithms.