Simplify scale initialization

[hercules2020/kcf.git] / README.md

diff --git a/README.md b/README.md
index e4ede1d7d1b690b2ca50d217bfb164ae2cda79a0..8cf2c6388337a4cdbdbf481e84e20672400e7e48 100644 (file)
--- a/README.md
+++ b/README.md
@@ -6,11 +6,12 @@ achieve the needed performance we try various ways of parallelization
 of the algorithm including execution on the GPU. The aim is also to
 modify the code according to the PRedictable Execution Model (PREM).
 
-Stable version of the tracker is available from [CTU server][2],
-development happens at [GitHub][3].
+Stable version of the tracker is available from a [CTU server][2],
+development happens at GitHub [here][wsh] and [here][3].
 
 [1]: http://hercules2020.eu/
 [2]: http://rtime.felk.cvut.cz/gitweb/hercules2020/kcf.git
+[wsh]: https://github.com/wentasah/kcf
 [3]: https://github.com/Shanigen/kcf
 
 ## Prerequisites
@@ -172,13 +173,13 @@ top_left_y, width, height".
 
 Original C++ implementation of KCF tracker was written by Tomas Vojir
 [here][12] and is reimplementation of algorithm presented in
-"High-Speed Tracking with Kernelized Correlation Filters" paper [1].
+"High-Speed Tracking with Kernelized Correlation Filters" paper \[1].
 
 [12]: https://github.com/vojirt/kcf/blob/master/README.md
 
 ## References
 
-[1] João F. Henriques, Rui Caseiro, Pedro Martins, Jorge Batista,
+\[1] João F. Henriques, Rui Caseiro, Pedro Martins, Jorge Batista,
 “High-Speed Tracking with Kernelized Correlation Filters“, IEEE
 Transactions on Pattern Analysis and Machine Intelligence, 2015