{"resolved":true,"match_type":"uuid","source_type":"original_book","book_id":"cd4f7678-cd9b-4971-bde0-e9ad46a6cc71","title":"人工智能与大数据技术导论","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787302517986","requested_by":"printed_page","book":{"source_type":"original_book","book_id":"cd4f7678-cd9b-4971-bde0-e9ad46a6cc71","id":"cd4f7678-cd9b-4971-bde0-e9ad46a6cc71","uuid":"cd4f7678-cd9b-4971-bde0-e9ad46a6cc71","title":"人工智能与大数据技术导论","normalized_title":"人工智能与大数据技术导论","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787302517986","isbns":["9787302517986"],"parsed":true,"ai_readable":true,"document_type":"book","page_count":490,"navigation_url":"https://workshop.closeclaw.top/ai/book/cd4f7678-cd9b-4971-bde0-e9ad46a6cc71","title_url":"https://workshop.closeclaw.top/ai/title/%E4%BA%BA%E5%B7%A5%E6%99%BA%E8%83%BD%E4%B8%8E%E5%A4%A7%E6%95%B0%E6%8D%AE%E6%8A%80%E6%9C%AF%E5%AF%BC%E8%AE%BA","fixed_page_url_template":"https://workshop.closeclaw.top/ai/book/cd4f7678-cd9b-4971-bde0-e9ad46a6cc71/page/{printed_page}","path_api_url_template":"https://workshop.closeclaw.top/api/ai/book/cd4f7678-cd9b-4971-bde0-e9ad46a6cc71/page/{printed_page}","read_url":"https://workshop.closeclaw.top/api/ai/read/cd4f7678-cd9b-4971-bde0-e9ad46a6cc71","page_url":"https://workshop.closeclaw.top/api/ai/books/cd4f7678-cd9b-4971-bde0-e9ad46a6cc71/page","search_url":"https://workshop.closeclaw.top/api/ai/books/cd4f7678-cd9b-4971-bde0-e9ad46a6cc71/search"},"page":{"printed_page":42,"pdf_page":58,"physical_index":58,"physical_index_base":0,"printed_page_status":"recognized","page_sha256":"fa892c3e6210a97133d42962dc23e819cab3165bf1255059c92b042a916e6e78"},"chapter":"第2章","content":"2.2.3计算机视觉\n\n视觉是人脑最主要的信息来源，计算机视觉是指通过计算机或图像处理器及相关设备来模拟人类视觉，以让机器获得相关的视觉信息并加以理解，是机器能够“看懂”周围环境的计算基础，最终解决机器代替人眼的问题。\n\n从技术流程来看，计算机视觉是将识别对象（如图像）转换成数字信号进行分析处理的技术。根据识别的种类不同又分为图像识别、人脸识别、文字识别等。通过计算机视觉技术可以对图片、实物或视频中的物体进行特征提取和分析，从而为后续动作提供关键的感知信息。从技术流程来看，视觉识别通常需要几个过程：图像采集、目标提取、目标识别、目标分析，如图2-9所示。\n\n对于特征识别，有生物特征识别技术，识别人类的指纹、虹膜、人脸等；有OCR识别技术，识别图片和文字；有物体识别技术，用于识别图片或视频中的物体。\n\n1. 视频分析\n\n在进行视频识别与分析时，需要使用前端摄像头设备收集和传输数据，同时需要通过大数据训练，具备云计算能力的深度学习图像分析系统来实时进行视频检测和数据分析（见图2-10）。由于机器不疲劳，而且可以全面识别整帧图像信息，通过使用该技术处理海量监控视频，可大大降低交管、公安部门的监控负担，具体的应用场景包括车辆识别、非法停车检测、嫌犯追踪等。\n\n人工智能与大数据技术导论\n\n42","previous_page":41,"next_page":43}