This paper presents a survey on the latest methods of moving object detection in video
sequences captured by a moving camera. Although many researches and excellent works …

Detection, tracking, and understanding of moving objects of interest in dynamic scenes have
been active research areas in computer vision over the past decades. Intelligent visual …

Although the correlation filter-based trackers achieve the competitive results both on
accuracy and robustness, there is still a need to improve the overall tracking capability. In …

This paper proposes a novel method for tracking failure detection. The detection is based on
the Forward-Backward error, ie the tracking is performed forward and backward in time and …

This paper shows that the performance of a binary classifier can be significantly improved by
the processing of structured unlabeled data, ie data are structured if knowing the label of …

Visual tracking, in essence, deals with non-stationary image streams that change over time.
While most existing algorithms are able to track objects well in controlled environments, they …

Very recently tracking was approached using classification techniques such as support
vector machines. The object to be tracked is discriminated by a classifier from the …

While numerous algorithms have been proposed for object tracking with demonstrated
success, it remains a challenging problem for a tracker to handle large change in scale …

Recently, on-line adaptation of binary classifiers for tracking have been investigated. On-line
learning allows for simple classifiers since only the current view of the object from its …

While numerous algorithms have been proposed for object tracking with demonstrated
success, it remains a challenging problem for a tracker to handle large appearance change …