In order to monitor dangerous areas in coal mines automatically,we propose to detect helmets from underground coal mine videos for detecting miners.This method can overcome the impact of similarity between the targets...In order to monitor dangerous areas in coal mines automatically,we propose to detect helmets from underground coal mine videos for detecting miners.This method can overcome the impact of similarity between the targets and their background.We constructed standard images of helmets,extracted four directional features,modeled the distribution of these features using a Gaussian function and separated local images of frames into helmet and non-helmet classes.Out experimental results show that this method can detect helmets effectively.The detection rate was 83.7%.展开更多
Recently, the LHCb collaboration reported the first evidence for the decay B08 →μ＋μ-. A branching ratio of （B08 →μ＋μ-） = （3.2＋1.5-1.2） x 10-9 is given. Using the newest data, and together with the most pr...Recently, the LHCb collaboration reported the first evidence for the decay B08 →μ＋μ-. A branching ratio of （B08 →μ＋μ-） = （3.2＋1.5-1.2） x 10-9 is given. Using the newest data, and together with the most precise predictions of the Standard Model contributions to the decay, we derive the constraints on the combinations of the R-parity violating parameters. Our results are several orders of magnitudes stronger than the constraints in the previous literature. We also update the constraints on the relevant parameters using the upper limit of B（B08 →μ＋μ-）.展开更多
基金provided by the National High Technology Research and Development Program of China (No.2008AA062202)
文摘In order to monitor dangerous areas in coal mines automatically,we propose to detect helmets from underground coal mine videos for detecting miners.This method can overcome the impact of similarity between the targets and their background.We constructed standard images of helmets,extracted four directional features,modeled the distribution of these features using a Gaussian function and separated local images of frames into helmet and non-helmet classes.Out experimental results show that this method can detect helmets effectively.The detection rate was 83.7%.
基金Supported by the National Science Foundation of China under the Grant Nos, 11075168, 11228512, and 11235005, and the National Science Council of Taiwan under Grant No. 101-2811-M-001-060
文摘Recently, the LHCb collaboration reported the first evidence for the decay B08 →μ＋μ-. A branching ratio of （B08 →μ＋μ-） = （3.2＋1.5-1.2） x 10-9 is given. Using the newest data, and together with the most precise predictions of the Standard Model contributions to the decay, we derive the constraints on the combinations of the R-parity violating parameters. Our results are several orders of magnitudes stronger than the constraints in the previous literature. We also update the constraints on the relevant parameters using the upper limit of B（B08 →μ＋μ-）.
