针对实际监控视频下双人交互行为的兴趣点特征选取不理想，且聚类词典中冗余单词导致识别率不高的问题，提出一种基于改进时空兴趣点（ STIP）特征的交互行为识别方法。首先，引入基于信息熵的不可跟踪性检测
2017-12-11 16:48
BS62LV4006STIP55 - Very Low Power CMOS SRAM 512K X 8 bit - Brilliance Semiconductor
2022-11-04 17:22
BS62LV2008STIP70 - Very Low Power/Voltage CMOS SRAM 256K X 8 bit - Brilliance Semiconductor
2022-11-04 17:22
BS62LV2006STIP70 - Very Low Power CMOS SRAM 256K X 8 bit - Brilliance Semiconductor
2022-11-04 17:22
BS62UV1027STIP85 - Ultra Low Power/Voltage CMOS SRAM 128K X 8 bit - Brilliance Semiconductor
2022-11-04 17:22
BS62LV1027STIP55 - Very Low Power CMOS SRAM 128K X 8 bit - Brilliance Semiconductor
2022-11-04 17:22
BS62LV1027STIP70 - Very Low Power CMOS SRAM 128K X 8 bit - Brilliance Semiconductor
2022-11-04 17:22
BS62LV1029STIP55 - Very Low Power/Voltage CMOS SRAM 128K X 8 bit - Brilliance Semiconductor
2022-11-04 17:22
BS62LV2006STIP55 - Very Low Power CMOS SRAM 256K X 8 bit - Brilliance Semiconductor
2022-11-04 17:22
BS62LV2009STIP55 - Very Low Power/Voltage CMOS SRAM 256K X 8 bit - Brilliance Semiconductor
2022-11-04 17:22
