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Correlation filters have been widely applied to visual tracking in recent years as adaptive correlation filters with short-term memory are robust to large appearance changes. However, tracking methods relying on correlation filters are prone to drifting due to noisy updates. Moreover, these methods are unable to recover from tracking failures caused by temporary or persistent heavy occlusions. In...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.