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A solution for large-scale multi-object tracking
A large-scale multi-object tracker based on the generalised labeled multi-Bernoulli (GLMB)
filter is proposed. The algorithm is capable of tracking a very large, unknown and time …
filter is proposed. The algorithm is capable of tracking a very large, unknown and time …
Multiple hypothesis tracking for cluttered biological image sequences
In this paper, we present a method for simultaneously tracking thousands of targets in
biological image sequences, which is of major importance in modern biology. The …
biological image sequences, which is of major importance in modern biology. The …
Localization recall precision (LRP): A new performance metric for object detection
Average precision (AP), the area under the recall-precision (RP) curve, is the standard
performance measure for object detection. Despite its wide acceptance, it has a number of …
performance measure for object detection. Despite its wide acceptance, it has a number of …
Testing of advanced driver assistance towards automated driving: A survey and taxonomy on existing approaches and open questions
In this work, we propose a novel taxonomy to partition the problem of testing advanced
driver assistance systems (ADAS) into three basic dimensions. These dimensions are …
driver assistance systems (ADAS) into three basic dimensions. These dimensions are …
On multi-modal people tracking from mobile platforms in very crowded and dynamic environments
Tracking people is a key technology for robots and intelligent systems in human
environments. Many person detectors, filtering methods and data association algorithms for …
environments. Many person detectors, filtering methods and data association algorithms for …