Melbourne, May 15 (ANI): A nervous Australian cricket captain Michael Clarke said he couldn’t eatch Mike Hussey’s heroics in the last over of the World Twenty20 championship semi-final against Pakistan at St. Lucia’s cricket stadium on Friday.
Clarke spent his time in the dugout biting his nails.
Needing 18 off the last over to pass Pakistan’s 6-191, Hussey hit two sixes, a four and another six from consecutive balls to deliver Australia a spot in the final against England in Barbados.
“I enjoy biting my nails when I”m nervous I guess. I couldn’t watch the last over. I watched the first ball when Mitchell Johnson got a single. Then I’ve gone back into the change rooms. I heard loud cheers,” The Herald Sun quoted Clarke, as saying.
“I knew it was a six and then another six and I thought oh my God, what is going on out there? I was too nervous. I couldn’t watch,” he said.
Hussey said he had a fairly simple game plan in the final over.
“Just try to slog every ball for six. I knew he (spinner Saeed Ajmal) would probably try to spear a few fast yorkers in. If he got them right then I don’t think there’s too much I could have done. Thankfully he probably just missed his length a little bit,” Hussey said.
“I don’t know what I was saying to myself. It’s all a bit of a blur. I was just saying please this last ball, please come out of the middle. I just wanted to feel what it felt like. I didn’t know what it was going to feel like and it’s an absolutely amazing feeling.
“It’s the best feeling you can ever have, to hit the winning runs for your country, particularly in such a big game as a semi-final. I’m so happy and it was great to see the elation on all the other boys’ faces. We’re so excited to be in the final,” Hussey added.
Pakistan coach Waqar Younis refused to blame his bowlers for letting the game get away from them. (ANI)
Sporty software tells blurred balls’ directions
London, Apr 23 (ANI): Commentators, who examine disputed line calls and coaches studying how well golfers and table-tennis players control balls, often face confusion when they see pictures and video stills of fast moving balls that appear as blurry streaks.
But, now a software, developed by scientists in Italy, could rid them of such confusion by determining a ball’s path and spin from a single blurry image.
Alessandro Giusti and his colleagues from the Polytechnic of Milan, who have developed a way to extract this data, has said that motion-blurred images contain far more information about a ball’s trajectory than frozen ones.
Usually a software just needs to look at the blurred streak of a moving ball in a photograph to easily detect the angle at which the ball is moving left or right and up or down in relation to the camera.
The only hassle comes when it needs to work out how the ball is moving towards or away from the camera.
Since the ball will appear smaller when it is further away, just just measuring the changing width of the blur could solve the problem.
Existing software cannot do this because a motion-blurred image has transparent edges, confusing edge-detection algorithms.
But, the new algorithm developed by Giusti and his colleagues is based on the idea that a blurred image is equivalent to a series of sharp images added together.
They calculated what a series of brief exposures would look like and were able to work out a formula that describes the transparency of the blur towards its edges.
The new algorithm uses this formula to determine where a ball’s edge is and then to calculate the change in its distance from the camera.
Thus, by exploiting information such as the colour of the ball and its background, the software can compensate for variations in lighting, which may affect how transparent the ball appears.
Knowing the exposure time and the size of the ball, the team can work out the speed and direction of a ball from relatively short smears.
If the ball has some surface pattern, the software can even determine how it was spinning.
This capability could be a useful training aid for sports such as golf in which players use the spin of the ball to control its trajectory.
And it should also be cheaper than existing devices, because it uses only one stills camera while other systems need coordinated video cameras to follow a ball’s motion.
“This would be great. 3D is very expensive,” New Scientist quoted Chris Swanner of Sports Motion in California, which develops video training systems, as saying. (ANI)