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+  <h1 align="center">Object Tracking via Particle Filter & Faster + Mask R-CNN</h1>
+</p>
+
+## References
+
+[1] **Ren, S., He, K., Girschick, R., &amp; Jian, S.,** 2016. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
+
+[2] **He, K., Gkioxari, G., Dollar, P., &amp; Girschick, R.** , 2018. Mask R-CNN.
+
+[3] **Nummiaro, K., Koller-Meir, E., &amp; Van Gool, L.** , 2002. An adaptive color-based particle filter. Image and vision computing, 21 (1), 99-110.
+
+[4] **Schön, T. B.** , 2010. Solving nonlinear state estimation problems using particle filters – an engineering perspective, Division of Automatic Control Technical Report, LiTH-ISY-R-2953, Linköping University.
+
+[5] **Kevin Schluff.** , 2016. Kschluff (Particle filter), [GitHub repository](https://github.com/mcv-m6-video/mcv-m4-2016-Team2)
+
+[6] **Image Source.** [What do we learn from region based object detectors (Faster R-CNN, R-FCN, FPN)? | by Jonathan Hui | Medium](https://jonathan-hui.medium.com/what-do-we-learn-from-region-based-object-detectors-faster-r-cnn-r-fcn-fpn-7e354377a7c9)
+
+[7] **Image Source.** [Demystifying Object Detection and Instance Segmentation for Data Scientists -](https://mlwhiz.com/blog/2019/12/05/od/)[MLWhiz](https://mlwhiz.com/blog/2019/12/05/od/)
+
+[8] **Image Source.** [Object Detection for Dummies Part 3: R-CNN Family (lilianweng.github.io)](https://lilianweng.github.io/lil-log/2017/12/31/object-recognition-for-dummies-part-3.html)
+
+[9] **Image Source.** [Splash of Color: Instance Segmentation with Mask R-CNN and TensorFlow | by Waleed Abdulla | Matterport Engineering](https://engineering.matterport.com/splash-of-color-instance-segmentation-with-mask-r-cnn-and-tensorflow-7c761e238b46)[Techblog](https://engineering.matterport.com/splash-of-color-instance-segmentation-with-mask-r-cnn-and-tensorflow-7c761e238b46)
+
+[10] **Image Source.** [Image segmentation with Mask R-CNN | by Jonathan Hui | Medium](https://jonathan-hui.medium.com/image-segmentation-with-mask-r-cnn-ebe6d793272)