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Found 5 papers, 0 papers with code
Joint Learning of Siamese CNNs and Temporally Constrained Metrics for Tracklet Association
Then the Siamese CNN and temporally constrained metrics are jointly learned online to construct the appearance-based tracklet affinity models.
Video Tracking Using Learned Hierarchical Features
The adaptation is conducted in both layers of the deep feature learning module so as to include appearance information of the specific target object.
Tracklet Association by Online Target-Specific Metric Learning and Coherent Dynamics Estimation
In this paper, we present a novel method based on online target-specific metric learning and coherent dynamics estimation for tracklet (track fragment) association by network flow optimization in long-term multi-person tracking.
Tracklet Association with Online Target-Specific Metric Learning
In our method, target-specific similarity metrics are learned, which give rise to the appearance-based models used in the tracklet affinity estimation.
Matching-Constrained Active Contours
To this effect, we obtain a mathematical model of interior points to boundary contour such that matching of interior feature points gives contour alignment, and we formulate the matching score as a constraint to active contour model such that the feature matching of maximum score that gives the contour alignment provides the initial feasible solution to the constrained optimization model of segmentation.
