کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6862394 677243 2015 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
One global optimization method in network flow model for multiple object tracking
ترجمه فارسی عنوان
یک روش بهینه سازی جهانی در مدل جریان شبکه برای ردیابی چندین شی
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی
In this paper, we address the task of automatically tracking a variable number of objects in the scene of a monocular and uncalibrated camera. We propose a global optimization method in network flow model for multiple object tracking. This approach extends recent work which formulates the tracking-by-detection into a maximum-a posteriori (MAP) data association problem. We redefine the observation likelihood and the affinity between observations to handle long term occlusions. Moreover, an improved greedy algorithm is designed to solve min-cost flow, reducing the amount of ID switches apparently. Furthermore, a linear hypothesis method is proposed to fill up the gaps in the trajectories. The experiment results demonstrate that our method is effective and efficient, and outperforms the state-of-the-art approaches on several benchmark datasets.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Knowledge-Based Systems - Volume 86, September 2015, Pages 21-32
نویسندگان
, , , , ,