منابع مشابه
Long-Term Visual Object Tracking Benchmark
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Standardized benchmarks are crucial for the majority of computer vision applications. Although leaderboards and ranking tables should not be over-claimed, benchmarks often provide the most objective measure of performance and are therefore important guides for reseach. Recently, a new benchmark for Multiple Object Tracking, MOTChallenge, was launched with the goal of collecting existing and new...
متن کاملOnline Object Tracking: A Benchmark Supplemental Material
We present more evaluation results in this document. Tracking Speed. Table 1 shows the statistics of the tracking speed of each algorithm in OPE running on a PC with Intel i7 3770 CPU (3.4GHz). The speed of L1APG is slower than [4] as we set the parameters of L1APG to be the default ones of MTT, where the canonical size of template is larger than the default one of L1APG. The implementation of ...
متن کاملDETRAC: A New Benchmark and Protocol for Multi-Object Tracking
In recent years, most effective multi-object tracking (MOT) methods are based on the tracking-by-detection framework. Existing performance evaluations of MOT methods usually separate the target association step from the object detection step by using the same object detection results for comparisons. In this work, we perform a comprehensive quantitative study on the effect of object detection a...
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With the advantage of high mobility, Unmanned Aerial Vehicles (UAVs) are used to fuel numerous important applications in computer vision, delivering more efficiency and convenience than surveillance cameras with fixed camera angle, scale and view. However, very limited UAV datasets are proposed, and they focus only on a specific task such as visual tracking or object detection in relatively con...
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ژورنال
عنوان ژورنال: IEEE Transactions on Pattern Analysis and Machine Intelligence
سال: 2015
ISSN: 0162-8828,2160-9292
DOI: 10.1109/tpami.2014.2388226