Papers Visual Object Tracking
“Visual Object Tracking” 태그가 달린 논문 369편 · 필터 해제
Video Tracking Using Learned Hierarchical Features
In this paper, we propose an approach to learn hierarchical features for visual object tracking. First, we offline learn features robust to diverse motion patterns from auxiliary video sequences. The hierarchical feature…
Domain AdaptationNetwork EmbeddingObjectObject Tracking+1First Step toward Model-Free, Anonymous Object Tracking with Recurrent Neural Networks
In this paper, we propose and study a novel visual object tracking approach based on convolutional networks and recurrent networks. The proposed approach is distinct from the existing approaches to visual object tracking…
ObjectObject TrackingVisual Object TrackingVisual TrackingOnline Object Tracking with Proposal Selection
Tracking-by-detection approaches are some of the most successful object trackers in recent years. Their success is largely determined by the detector model they learn initially and then update over time. However, under c…
ObjectObject TrackingVisual Object TrackingAn Experimental Survey on Correlation Filter-based Tracking
Over these years, Correlation Filter-based Trackers (CFTs) have aroused increasing interests in the field of visual object tracking, and have achieved extremely compelling results in different competitions and benchmarks…
Object TrackingSurveyVisual Object TrackingOnline Adaptive Hidden Markov Model for Multi-Tracker Fusion
In this paper, we propose a novel method for visual object tracking called HMMTxD. The method fuses observations from complementary out-of-the box trackers and a detector by utilizing a hidden Markov model whose latent s…
Object TrackingVisual Object TrackingVisual object tracking performance measures revisited
The problem of visual tracking evaluation is sporting a large variety of performance measures, and largely suffers from lack of consensus about which measures should be used in experiments. This makes the cross-paper tra…
ObjectObject TrackingVisual Object TrackingVisual TrackingAn equalised global graphical model-based approach for multi-camera object tracking
Non-overlapping multi-camera visual object tracking typically consists of two steps: single camera object tracking and inter-camera object tracking. Most of tracking methods focus on single camera object tracking, which …
ObjectObject TrackingVisual Object TrackingAdaptive Objectness for Object Tracking
Object tracking is a long standing problem in vision. While great efforts have been spent to improve tracking performance, a simple yet reliable prior knowledge is left unexploited: the target object in tracking must be …
ObjectObject TrackingVisual Object TrackingVisual Tracking10,000+ Times Accelerated Robust Subset Selection (ARSS)
Subset selection from massive data with noised information is increasingly popular for various applications. This problem is still highly challenging as current methods are generally slow in speed and sensitive to outlie…
10-shot image generationAction RecognitionCollaborative FilteringFine-Grained Image Classification+20