Multiple objective tracking represents a crucial research focus within the realm of computer vision. It has a very broad application prospect in video surveillance, intelligent transportation, robot navigation and positioning and other fields.However, multi-target visual perception is affected by light, weather, occlusion and other factors, and is vulnerable to noise interference, faced with problems such as unstable image enhancement effect, target correlation accuracy and robustness.In this paper, PP-Human is used for multi-objective tracking. By training and optimizing PP-Human model, combining high-precision detector, strengthening pedestrian reidentification (ReID) technology and optimizing data association strategy, the PP-Human model improves multi-object detection capability and realizes efficient and accurate multi-objective tracking. Using the extended Market 150 dataset to comprehensively evaluate the performance of the proposed multi-objective tracking method, this paper improves the accuracy of multi-objective tracking by 5.0% and reaches 95.0% of MOTA through a series of optimization measures, verifying the effectiveness and robustness of this method. Through experimental verification, the improved PP-Human performed well in multi-target tracking tasks, providing a solid foundation for pedestrian analysis, behavior recognition, and flow statistics in practical applications.

Aims: Design and construct an effective covert channel in voice over LTE(VoLTE) environment. Background: Covert channel technology is a method used to hide information in communication. The high throughput network traffic environment of mobile audio and video calls provides suitable circumstances for the establishment of covert channels. Objective: In order to solve the problem that common covert channel construction methods are not applicable in VoLTE environment, this paper propose a VoLTE covert timing channel construction method based on video packet rearrangement. Methods: Utilizing the characteristics that each video frame needs multiple packets for transmission, the covert information is modulated into the total number of packets between the packets at the end of the video frame. The method divides the covert information to be transmitted into variable bit lengths according to the packet distribution law of normal traffic, so as to improve the transmission performance of covert channels and reduce the difference in packet distribution between covert channel traffic and normal traffic. The covert information is encoded by Gray code to reduce the influence of network noise and improve the robustness of covert channels. Results: Experimental results show that the proposed covert channel construction method maintains good concealment and robustness, and has a high transmission rate. Conclusion: A robust and efficient covert timing channel can be constructed in VoLTE environment through video packet rearrangement. Other:With the development of 5G, the next step will focus on the construction of covert channels in the voice over NR (VoNR) environment.